Coforge - Lead Data Engineer

: 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