Data Engineer

Zensar Technologies • Python • SQL • Power BI • Dimensional Modeling • 1 day ago
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Salary
≈ $16k – $64k per year (Estimated)
Location
In office (Pune)
Overview
Company
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Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com • HQ: Pune, India • Custom Software Development • Software • IT Outsourcing • IT Consulting • Information Technology • 1001-5000 employees • Est. 1991

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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