Description

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, Solid 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

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.

Qualifications

.

📌 Data Engineer (Pune)
🏢 Zensar Technologies
📍 Pune