We are looking for a skilled Data Engineer with 4–5 years of experience in building scalable data pipelines, data warehousing, and real-time/batch data processing solutions, with solid expertise in the Azure ecosystem.

Experience: 4–5 Years
Location: Noida, Sector 63 | Employment Type: Full-time

Key Responsibilities
Design and maintain ETL/ELT, batch, streaming, and data pipelines.
Develop solutions using Azure Data Factory, Databricks, Event Hub, Azure Storage, and Synapse Analytics.
Work with SQL Server, PostgreSQL, and Cosmos DB.
Develop data solutions using Python, SQL, and PySpark/Spark.
Implement messaging and streaming using Kafka, Azure Service Bus, and Azure Queue Storage.
Design data models using Star Schema, Snowflake Schema, and SCD.
Implement Git, Docker,



and CI/CD for deployment and version control.
Ensure data quality, performance, reliability, and security.

Required Skills
Data Engineering: ETL/ELT, Data Pipelines, Streaming, Batch Processing, Data Warehousing
Azure: ADF, Databricks, Event Hub, Storage, Synapse Analytics
Databases: SQL Server, PostgreSQL, Cosmos DB
Programming: Python, SQL, Spark/PySpark
Messaging: Kafka, Azure Service Bus, Azure Queue Storage
Data Modeling: Star Schema, Snowflake Schema, SCD
DevOps: Git, Docker, CI/CD

DM or share your resume to [email protected]

Regards
HR

📌 Data Engineer (Dadri)
🏢 Fship
📍 Dadri