Data Engineer
Posted Updated
Summary
Data Engineer at Zensar in Pune who designs, builds, and maintains data pipelines and engineering workflows, handling data ingestion, transformation, automation, and quality assurance. The core stack is SQL, Python, and Databricks, with Power BI/Qlik and data warehousing knowledge as nice-to-haves.
Responsibilities
- Design, build, and maintain data pipelines and engineering workflows
- Develop and optimize solutions using SQL, Python, and Databricks
- Independently manage and deliver tasks assigned from the project backlog
- Support initiatives involving:
- Data ingestion, Process automation, transformation
- Data quality assurance and validation
- Data and system integration
- Ensure data accuracy, reliability, and operational efficiency across workflows
- Follow best practices in data engineering, documentation, and quality control
- Strong experience in SQL, Strong programming experience in Python
- Hands-on experience with Databricks
- Solid understanding of data engineering concepts, including pipeline development and automation
- Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
- Ability to collaborate effectively in a distributed/global team environment
- Familiarity with data quality assurance, testing, and validation processes
- Ability to work independently and manage assigned tasks with limited oversight
- Strong analytical, problem-solving, and communication skills
Qualifications
Nice to have Skills:
- Experience with Power BI, Qlik, or similar BI tools.
- Familiarity with data warehousing and dimensional modeling.
Responsibilities
- Design, build, and maintain data pipelines and engineering workflows
- Develop and optimize solutions using SQL, Python, and Databricks
- Independently manage and deliver tasks assigned from the project backlog
- Support initiatives involving:
- Data ingestion, Process automation, transformation
- Data quality assurance and validation
- Data and system integration
- Ensure data accuracy, reliability, and operational efficiency across workflows
- Follow best practices in data engineering, documentation, and quality control
- Strong experience in SQL, Strong programming experience in Python
- Hands-on experience with Databricks
- Solid understanding of data engineering concepts, including pipeline development and automation
- Experience with data ingestion, transformation, and integration, working on multiple concurrent data projects
- Ability to collaborate effectively in a distributed/global team environment
- Familiarity with data quality assurance, testing, and validation processes
- Ability to work independently and manage assigned tasks with limited oversight
- Strong analytical, problem-solving, and communication skills
Qualifications
Nice to have Skills:
- Experience with Power BI, Qlik, or similar BI tools.
- Familiarity with data warehousing and dimensional modeling.
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