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
- Solid 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Pune)
🏢 Zensar
📍 Pune