Job Description :

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 :

- Strong 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