13 Etl Engineer jobs in Pakistan

3 weeks ago Be among the first 25 applicants

Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)

Experience: 4+ Years

Location: Lahore / Karachi / Islamabad (Hybrid)

Job Type: Full-Time

About The Role

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

Key Responsibilities

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.
• Leverage tools such as Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows.
• Implement distributed data processing using Hadoop, Hive, Kafka, and Spark.
• Build and optimize data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3.
• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.
• Write optimized SQL queries and manage stored procedures for complex data processing tasks.
• Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.
• Deploy data models into production environments and ensure robust monitoring and resource management.
• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.
• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.
• Strong working knowledge of Ab Initio, Informatica, or similar ETL tools.
• Expertise in Python, PySpark, or Scala for data processing.
• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).
• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).
• In-depth understanding of data modeling, ETL cycle, data warehousing, and data management principles.
• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).
• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).
• Ability to troubleshoot complex data issues and propose scalable solutions.
• Excellent communication and collaboration skills.
  
  

• Experience with open table formats such as Apache Iceberg.
• Working knowledge of Snowflake and its data warehousing capabilities.
• Familiarity with GDE, Collect > IT, or other components of Ab Initio.
  
  

• Hybrid work model with flexibility to work from home and office.
• Exposure to cutting-edge technologies and high-impact projects.
• Collaborative team environment with opportunities for growth and innovation.
• Culture that values ownership, continuous learning, and mutual respect.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)
Experience: 4+ Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Job Type: Full-Time

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.

• Leverage tools such as Ab Initio , Informatica , DBT , and Apache Spark to build scalable data workflows.

• Implement distributed data processing using Hadoop , Hive , Kafka , and Spark .

• Build and optimize data pipelines in AWS using services like EMR , Glue , Lambda , Athena , and S3 .

• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.

• Write optimized SQL queries and manage stored procedures for complex data processing tasks.

• Orchestrate workflows using Airflow , AWS Step Functions , or similar schedulers.

• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

• Deploy data models into production environments and ensure robust monitoring and resource management.

• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.

• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of hands-on experience in ETL development , data engineering , and data pipeline orchestration .

• Strong working knowledge of Ab Initio , Informatica , or similar ETL tools.

• Expertise in Python , PySpark , or Scala for data processing.

• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).

• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).

• In-depth understanding of data modeling , ETL cycle , data warehousing , and data management principles .

• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).

• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).

• Ability to troubleshoot complex data issues and propose scalable solutions.

• Excellent communication and collaboration skills.

• Experience with open table formats such as Apache Iceberg .

• Working knowledge of Snowflake and its data warehousing capabilities.

• Familiarity with GDE , Collect > IT , or other components of Ab Initio.

• Hybrid work model with flexibility to work from home and office.

• Exposure to cutting-edge technologies and high-impact projects.

• Collaborative team environment with opportunities for growth and innovation.

• Culture that values ownership, continuous learning, and mutual respect.

Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)
Experience: 4+ Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Job Type: Full-Time

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.

• Leverage tools such as Ab Initio , Informatica , DBT , and Apache Spark to build scalable data workflows.

• Implement distributed data processing using Hadoop , Hive , Kafka , and Spark .

• Build and optimize data pipelines in AWS using services like EMR , Glue , Lambda , Athena , and S3 .

• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.

• Write optimized SQL queries and manage stored procedures for complex data processing tasks.

• Orchestrate workflows using Airflow , AWS Step Functions , or similar schedulers.

• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

• Deploy data models into production environments and ensure robust monitoring and resource management.

• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.

• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of hands-on experience in ETL development , data engineering , and data pipeline orchestration .

• Strong working knowledge of Ab Initio , Informatica , or similar ETL tools.

• Expertise in Python , PySpark , or Scala for data processing.

• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).

• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).

• In-depth understanding of data modeling , ETL cycle , data warehousing , and data management principles .

• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).

• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).

• Ability to troubleshoot complex data issues and propose scalable solutions.

• Excellent communication and collaboration skills.

• Experience with open table formats such as Apache Iceberg .

• Working knowledge of Snowflake and its data warehousing capabilities.

• Familiarity with GDE , Collect > IT , or other components of Ab Initio.

• Hybrid work model with flexibility to work from home and office.

• Exposure to cutting-edge technologies and high-impact projects.

• Collaborative team environment with opportunities for growth and innovation.

• Culture that values ownership, continuous learning, and mutual respect.

Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)
Experience: 4+ Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Job Type: Full-Time

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.

• Leverage tools such as Ab Initio , Informatica , DBT , and Apache Spark to build scalable data workflows.

• Implement distributed data processing using Hadoop , Hive , Kafka , and Spark .

• Build and optimize data pipelines in AWS using services like EMR , Glue , Lambda , Athena , and S3 .

• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.

• Write optimized SQL queries and manage stored procedures for complex data processing tasks.

• Orchestrate workflows using Airflow , AWS Step Functions , or similar schedulers.

• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

• Deploy data models into production environments and ensure robust monitoring and resource management.

• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.

• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of hands-on experience in ETL development , data engineering , and data pipeline orchestration .

• Strong working knowledge of Ab Initio , Informatica , or similar ETL tools.

• Expertise in Python , PySpark , or Scala for data processing.

• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).

• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).

• In-depth understanding of data modeling , ETL cycle , data warehousing , and data management principles .

• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).

• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).

• Ability to troubleshoot complex data issues and propose scalable solutions.

• Excellent communication and collaboration skills.

• Experience with open table formats such as Apache Iceberg .

• Working knowledge of Snowflake and its data warehousing capabilities.

• Familiarity with GDE , Collect > IT , or other components of Ab Initio.

• Hybrid work model with flexibility to work from home and office.

• Exposure to cutting-edge technologies and high-impact projects.

• Collaborative team environment with opportunities for growth and innovation.

• Culture that values ownership, continuous learning, and mutual respect.

Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)
Experience: 4+ Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Job Type: Full-Time

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.

• Leverage tools such as Ab Initio , Informatica , DBT , and Apache Spark to build scalable data workflows.

• Implement distributed data processing using Hadoop , Hive , Kafka , and Spark .

• Build and optimize data pipelines in AWS using services like EMR , Glue , Lambda , Athena , and S3 .

• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.

• Write optimized SQL queries and manage stored procedures for complex data processing tasks.

• Orchestrate workflows using Airflow , AWS Step Functions , or similar schedulers.

• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

• Deploy data models into production environments and ensure robust monitoring and resource management.

• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.

• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of hands-on experience in ETL development , data engineering , and data pipeline orchestration .

• Strong working knowledge of Ab Initio , Informatica , or similar ETL tools.

• Expertise in Python , PySpark , or Scala for data processing.

• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).

• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).

• In-depth understanding of data modeling , ETL cycle , data warehousing , and data management principles .

• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).

• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).

• Ability to troubleshoot complex data issues and propose scalable solutions.

• Excellent communication and collaboration skills.

• Experience with open table formats such as Apache Iceberg .

• Working knowledge of Snowflake and its data warehousing capabilities.

• Familiarity with GDE , Collect > IT , or other components of Ab Initio.

• Hybrid work model with flexibility to work from home and office.

• Exposure to cutting-edge technologies and high-impact projects.

• Collaborative team environment with opportunities for growth and innovation.

• Culture that values ownership, continuous learning, and mutual respect.

3 weeks ago Be among the first 25 applicants

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Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)

Experience: 4+ Years

Location: Lahore / Karachi / Islamabad (Hybrid)

Job Type: Full-Time

About The Role

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

Key Responsibilities

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.
• Leverage tools such as Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows.
• Implement distributed data processing using Hadoop, Hive, Kafka, and Spark.
• Build and optimize data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3.
• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.
• Write optimized SQL queries and manage stored procedures for complex data processing tasks.
• Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.
• Deploy data models into production environments and ensure robust monitoring and resource management.
• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.
• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.
• Strong working knowledge of Ab Initio, Informatica, or similar ETL tools.
• Expertise in Python, PySpark, or Scala for data processing.
• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).
• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).
• In-depth understanding of data modeling, ETL cycle, data warehousing, and data management principles.
• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).
• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).
• Ability to troubleshoot complex data issues and propose scalable solutions.
• Excellent communication and collaboration skills.
  
  

• Experience with open table formats such as Apache Iceberg.
• Working knowledge of Snowflake and its data warehousing capabilities.
• Familiarity with GDE, Collect > IT, or other components of Ab Initio.
  
  

• Hybrid work model with flexibility to work from home and office.
• Exposure to cutting-edge technologies and high-impact projects.
• Collaborative team environment with opportunities for growth and innovation.
• Culture that values ownership, continuous learning, and mutual respect.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Job Title: Senior ETL Data Engineer (Ab Initio / Informatica)
Experience: 4+ Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Job Type: Full-Time

We are looking for a highly skilled Senior ETL Data Engineer (Ab Initio / Informatica) with strong experience in building robust data pipelines, working with large-scale datasets, and leveraging modern Big Data and cloud technologies. The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. If you have a passion for working with data and enjoy designing scalable systems, we’d like to meet you.

• Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.

• Leverage tools such as Ab Initio , Informatica , DBT , and Apache Spark to build scalable data workflows.

• Implement distributed data processing using Hadoop , Hive , Kafka , and Spark .

• Build and optimize data pipelines in AWS using services like EMR , Glue , Lambda , Athena , and S3 .

• Work with various structured and unstructured data sources to perform efficient data ingestion and transformation.

• Write optimized SQL queries and manage stored procedures for complex data processing tasks.

• Orchestrate workflows using Airflow , AWS Step Functions , or similar schedulers.

• Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.

• Deploy data models into production environments and ensure robust monitoring and resource management.

• Mentor junior engineers and contribute to the team’s knowledge sharing and continuous improvement efforts.

• Identify and recommend process and technology improvements to enhance data pipeline performance and reliability.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of hands-on experience in ETL development , data engineering , and data pipeline orchestration .

• Strong working knowledge of Ab Initio , Informatica , or similar ETL tools.

• Expertise in Python , PySpark , or Scala for data processing.

• Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).

• Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).

• In-depth understanding of data modeling , ETL cycle , data warehousing , and data management principles .

• Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).

• Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).

• Ability to troubleshoot complex data issues and propose scalable solutions.

• Excellent communication and collaboration skills.

• Experience with open table formats such as Apache Iceberg .

• Working knowledge of Snowflake and its data warehousing capabilities.

• Familiarity with GDE , Collect > IT , or other components of Ab Initio.

• Hybrid work model with flexibility to work from home and office.

• Exposure to cutting-edge technologies and high-impact projects.

• Collaborative team environment with opportunities for growth and innovation.

• Culture that values ownership, continuous learning, and mutual respect.

Overview:
We’re looking for a hands-on Data Science & Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You’ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.

This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.

Responsibilities:

• Define and deliver our data strategy - from core infrastructure to insights delivery
• Build and mentor a team of 2–5 data scientists and engineers
• Design and deploy predictive models, recommendation systems, and performance analytics
• Architect, deploy, and maintain scalable data pipelines and analytics tooling
• Own and scale robust data pipelines and ensure data integrity across business verticals
• Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions
• Act as the go-to person for data strategy, experimentation, and insights
  
  
  
  
  

• 5–6 years of relevant experience in data science, engineering or analytics,
• At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment
• Strong command of Python or R; strong SQL skills required
• Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure
• Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
• Experience working cross functionally with business and product teams
• Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
  
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Hospitality, Food and Beverage Services, and Retail

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.