Senior Data Engineer

Job Description:

• 5-8 yrs exp in GCP and Azure (Hands on experience in GCP and Azure Databricks)
• SQL: Strong hands-on expertise in complex queries, joins, aggregations, window functions, data reconciliation, and query optimization.
• Python: Strong programming skills with solid understanding of core concepts, transformations, and data-processing logic.
• PySpark/Spark: Hands-on experience with DataFrames, joins, transformations, aggregations, window functions, and distributed processing.
• ETL/Data Integration: Experience developing and supporting data ingestion, transformation, validation, and error-handling frameworks.
• Data Quality: Experience with reconciliation, completeness and consistency checks, deduplication, and data-integrity validation.
• Troubleshooting: Ability to independently debug SQL/Python/data issues, perform RCA, and resolve production problems.
• System Design: Good understanding of scalable data-engineering architecture and system-design principles.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.
• Good Communication Skills.
• Experience in effective client management