Data Engineer – Azure Databricks

Location: Remote

Experience: 8+ Years

Employment Type: Full-time

We are looking for an experienced Data Engineer with strong expertise in Azure data technologies, data engineering, ETL, data modelling, data warehousing, and business intelligence.

Key Responsibilities:

- Develop and maintain data lakes and data platforms.
- Design and implement ETL pipelines for data warehouses and data lakes.
- Understand business and reporting requirements and deliver scalable data solutions.
- Work on data modelling, ETL, metadata, reporting, and dashboarding.
- Work with large datasets to support business decision-making.
- Develop SQL and Python scripts.
- Build and maintain Microsoft Power BI dashboards and reports.
- Collaborate with business and technical teams to deliver end-to-end solutions.

Required Skills:

- 8+ years of experience in Data Engineering.
- Strong experience with SQL,



Python, ETL, Data Modelling, Data Warehousing, and Data Lakes .
- Experience with Azure Data Factory .
- Hands-on experience with Spark and Azure Databricks .
- Experience with Microsoft Power BI .
- Knowledge of MPP databases.
- Familiarity with Python, PySpark, or JavaScript .
- Exposure to NoSQL databases such as Cosmos DB or MongoDB .
- Experience with Agile methodologies and Git .
- Strong verbal and written communication skills.

Valuable to Have:

- Experience with MuleSoft, KingsWaySoft, or Marketo .

Interested candidates can apply through this job posting or share their updated CV at: ? [email protected]

- Please mention “Data Engineer – Azure Databricks” in the subject line.

📌 Tech lead - Data Engineer (Kolkata)
🏢 QuCatalyst Corporate Services
📍 Kolkata