Data Engineer

Entra Solutions

4 - 8 years

30 - 35 Lacs

gurugram

Posted:2 days ago| Platform:

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Skills Required

computer science performance tuning metadata data quality stored procedures information technology analytics financial services sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design, develop, and maintain ETL/ELT pipelines in Databricks (using PySpark, notebooks, and Delta Lake) following the Bronze-Silver-Gold medallion architecture.

Write, optimize, and troubleshoot SQL queries, stored procedures, and transformations for large-scale datasets from multiple sources (SQL Server, Postgres, S3, Snowflake, SFTP).

Transform and prepare data in Silver and Gold layers for analytics, dashboards, and downstream applications using dbt and native Databricks tools.

Integrate data from operational systems into the enterprise warehouse.

Collaborate with analytics teams to deliver curated datasets and enable reporting in Sigma or similar reporting tools for functional business groups.

Support SLA-driven data feeds for operational systems, BI dashboards, and regulatory reporting.

Monitor and optimize data pipelines for performance, scalability, and cost efficiency.

Contribute to the architectural goal of building a centralized, scalable, and modular data environment with unified ETL orchestration and federated governance.

WHAT WE RE LOOKING FOR:

BE/BTech degree in Computer Science, Information Technology, or related field

Mandatory:

4 8 years of data engineering experience

Expert-level Databricks skills (Delta Lake, notebooks, clusters, jobs)

Advanced SQL programming, query optimization, and performance tuning

Preferred / Good-to-Have:

Experience with Azure Data Services (Data Factory, Data Lake, Synapse)

Proficiency in Python or Scala for data processing in Databricks

Familiarity with dbt for transformation and orchestration

Exposure to BI/reporting tools like Sigma or Power BI

Understanding of data governance frameworks, metadata management, and data quality processes

Experience with real-time/streaming data (Spark Structured Streaming, Kafka)

Strong analytical and problem-solving skills, with attention to detail and data accuracy

Excellent communication and collaboration skills across technical and business teams

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