3 Big W jobs in Pakistan
Big Data Engineer
Posted 13 days ago
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Job Description
The Big Data Engineer is responsible for designing, developing and managing big data platforms to process and analyze large datasets. You will work with cutting-edge technologies to ensure seamless data flow, scalability and high-performance systems. Your work will be crucial in providing actionable insights for decision-making across the business. Join us to shape the future of data-driven strategies.
Key Responsibilities- Design Data Systems: Architect scalable data processing systems for business needs.
- Manage Data Pipelines: Build and maintain efficient data pipelines for real-time processing.
- Data Integration: Integrate disparate data sources for analysis and reporting.
- Ensure Data Quality: Implement methods for data cleaning and validation.
- Optimize Performance: Tune and optimize systems for speed and scalability.
- Collaborate with Teams: Work closely with data scientists and analysts to create solutions.
- Big Data Technologies: Work with Hadoop, Spark and similar big data tools.
- Security Compliance: Ensure data handling complies with privacy and security standards.
- 3+ years of experience in big data engineering or a similar role.
- Hands-on experience with big data platforms like Hadoop, Spark, or AWS.
- Previous work experience in developing and managing data pipelines.
- Strong programming skills in Python, Java, or Scala.
- Deep understanding of distributed computing systems and architectures.
- Ability to collaborate effectively across cross-functional teams.
Graduate Trainee – Big Data Analyst
Posted 13 days ago
Job Viewed
Job Description
We are looking for enthusiastic and driven fresh graduates who have a strong interest and foundational understanding of Big Data concepts. As a Graduate Trainee – Big Data Analyst, you will be part of our dynamic Data & Analytics team, where you will be trained and mentored to work on real-world big data projects, tools, and technologies.
This is an excellent opportunity to start your career in the rapidly growing field of Big Data, working alongside experienced professionals in a fast-paced and innovative environment.
Key Responsibilities
- Assist in collecting, processing, and analyzing large volumes of structured and unstructured data.
- Support in building and maintaining data pipelines using big data technologies.
- Participate in data cleaning, transformation, and integration activities.
- Work with cross-functional teams to understand data requirements and provide data-driven insights.
- Learn and apply data processing in Data Lake & Apache Spark.
- Document processes and contribute to technical reports and dashboards.
Requirements
- Education: Bachelor’s degree in Computer Science or related fields (Graduated in 2025).
- Strong interest and foundational knowledge in Big Data, Data Science, or Data Engineering .
- Familiarity with programming languages such as Python, Java, or Scala .
- Exposure to SQL and basic understanding of databases (relational or NoSQL).
- Understanding of core big data concepts such as distributed computing, data lakes, and data warehousing is a plus.
- Willingness to learn and work with tools like Spark and Kafka etc.
- Excellent analytical thinking, problem-solving ability, and attention to detail.
- Strong communication and teamwork skills.
We have an amazing team of 700+ individuals working on highly innovative enterpriseprojects & products. Our customer base includes Fortune 100 retail and CPGcompanies, leadingstore chains, fast-growth fintech, and multipleSilicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015,27001:2013 & 2000-1:2018 certified. We have a vibrant culture of learning via collaboration and making the workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit:
#J-18808-LjbffrGraduate Trainee – Big Data Analyst
Posted 18 days ago
Job Viewed
Job Description
fresh graduates
who have a strong interest and foundational understanding of
Big Data
concepts. As a Graduate Trainee – Big Data Analyst, you will be part of our dynamic Data & Analytics team, where you will be trained and mentored to work on real-world big data projects, tools, and technologies. This is an excellent opportunity to start your career in the rapidly growing field of Big Data, working alongside experienced professionals in a fast-paced and innovative environment. Key Responsibilities Assist in collecting, processing, and analyzing large volumes of structured and unstructured data. Support in building and maintaining data pipelines using big data technologies. Participate in data cleaning, transformation, and integration activities. Work with cross-functional teams to understand data requirements and provide data-driven insights. Learn and apply data processing in Data Lake & Apache Spark. Document processes and contribute to technical reports and dashboards. Requirements Education:
Bachelor’s degree in Computer Science or related fields (Graduated in 2025). Strong interest and foundational knowledge in
Big Data, Data Science, or Data Engineering . Familiarity with programming languages such as
Python, Java, or Scala . Exposure to SQL and basic understanding of databases (relational or NoSQL). Understanding of core big data concepts such as distributed computing, data lakes, and data warehousing is a plus. Willingness to learn and work with tools like Spark and Kafka etc. Excellent analytical thinking, problem-solving ability, and attention to detail. Strong communication and teamwork skills. We have an amazing team of 700+ individuals working on highly innovative enterpriseprojects & products. Our customer base includes Fortune 100 retail and CPGcompanies, leadingstore chains, fast-growth fintech, and multipleSilicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015,27001:2013 & 2000-1:2018 certified. We have a vibrant culture of learning via collaboration and making the workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit:
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