Senior Data Engineer

Responsibilities:

• Analyze, maintain, and optimize existing Python scripts to ensure seamless data pipeline automation and system reliability.
• Design and implement scalable processes to transform unstructured or semi-structured data like JSON, XML, and logs into structured tabular formats.
• Develop and manage end-to-end ETL and CDC workflows using tools such as SSIS, Talend, Informatica, or Azure Data Factory.
• Implement event-based streaming and real-time data processing using Debezium, Kafka, Flink, and Spark.
• Manage and query diverse database environments, including PostgreSQL, Oracle, SQL Server, NoSQL (MongoDB), and GraphDB (Gsql/TG).
• Oversee Data Warehouse architecture and manage job scheduling and orchestration across cloud (GCP/BigQuery/Azure) and on-premise systems.
• Collaborate with cross-functional teams to translate complex data requirements into technical solutions while troubleshooting and resolvin...

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