Data Engineer

About the Role

We are looking for a skilled and motivated Data Engineer to join our growing data platform team. In this role, you will design, build, and optimize scalable data pipelines and ingestion frameworks that power analytics, reporting, and business-critical applications.

You will work closely with data architects, business stakeholders, and cross-functional teams to translate requirements into robust, production-grade data solutions on Azure cloud infrastructure.

Location: Pune, India (Hybrid)

**Someone who is outside from Pune please don't apply**

Experience: 3-9 years (Full-time)

Required Skills

Cloud Platforms

Azure Databricks, Azure Data Factory (ADF), ADLS Gen2, Azure Synapse Analytics, Azure SQL, Azure DevOps

Big Data & ETL

PySpark, Spark SQL, Apache Kafka, Hive, HDFS, Sqoop, Delta Lake, Spark Streaming

Programming

Python, SQL, PySpark, Shell Scripting

Orchestration & DevOps

Apache Airflow, CI/CD, Git / GitHub, Azure DevOps

Data Architecture

Medallion Architecture, Data Lake, Star Schema, SCD Type 1/2, CDC Ingestion

Databases & Warehousing

Snowflake, MySQL, Oracle, Azure SQL DB, Synapse Dedicated SQL Pool

Experience & Qualifications

• 49 years of hands-on experience in data engineering or big data development
• Bachelor's degree in Engineering, Computer Science, Electronics, or a related field
• Strong understanding of distributed computing concepts and Spark internals
• Demonstrated ability to build and optimize production-grade data pipelines at TB-level scale