:

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
- Build Data Lake, Data Warehouse, BI, and Analytics platforms.
- Convert business requirements into robust technical solutions.
- Ensure data quality, security, governance, and performance optimization.
- Perform code reviews, troubleshooting, and production support.
- Collaborate with cross-functional teams on architecture and data engineering best practices.
- Maintain metadata, data lineage, and data governance standards.

Technical Skills :

- Cloud &
- Big Data : Azure, Cloudera, Hadoop, Spark, Scala, Hive, HBase, Kafka
- Data Engineering : Azure Data Factory (ADF), Databricks, Airflow, Apache NiFi, Oozie, Sqoop
- Storage &
- Processing : HDFS, ADLS Gen2, Snowflake,



Streaming (Spark Streaming)
- Data Integration : SnapLogic, TIBCO
- Databases &
- BI : SQL, Power BI, MicroStrategy, Elasticsearch
- Version Control &
- DevOps : Git, Bitbucket, Azure DevOps
- File Formats : AVRO, PARQUET

Desired Profile :

- Robust hands-on experience in end-to-end Data Engineering.
- Familiarity with Data Lake, Data Warehouse, BI, and Analytics solutions.
- Exposure to Agile/Waterfall methodologies.
- Excellent problem-solving, communication, and stakeholder management skills.
- Team player with a strong learning mindset

📌 Coforge - Lead Data Engineer (India)
🏢 Coforge
📍 India