Description

Key Responsibilities

• Lead end-to-end design and delivery of GCP-based data engineering and migration solutions.
• Design, develop, and optimize scalable data pipelines using Cloud Composer (Airflow) and Python.
• Build and manage enterprise data warehouses and analytics solutions using BigQuery.
• Perform complex SQL troubleshooting, query optimization, and data validation across large datasets.
• Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and regulatory compliance.
• Conduct data analysis to identify quality issues, transformation requirements, and optimization opportunities.
• Collaborate with business users, data architects, and cross-functional teams to translate requirements into scalable solutions.
• Review code, enforce engineering best practices, and provide technical leadership to development teams.
• Coordinate with QA teams to define test strategies, perform data reconciliation, and support defect resolution.
• Support production deployments, troubleshooting, performance tuning, and operational excellence initiatives.

Required Skills & Qualifications

• 10+ years of experience in Data Engineering, Analytics, and Cloud Data Platforms.
• Strong hands-on experience with Google BigQuery.
• Strong hands-on experience with Cloud Composer / Apache Airflow using Python.
• Advanced SQL development, debugging, and performance tuning expertise.
• Experience in large-scale Data Migration and Data Modernization programs.
• Strong understanding of data modeling, ETL/ELT frameworks, and data warehousing concepts.
• Experience working with structured and semi-structured datasets.
• Knowledge of GCP services such as Cloud Storage, Dataflow, Dataproc, IAM, Monitoring, and Logging.
• Experience with CI/CD pipelines and DevOps practices in cloud environments.
• Understanding of Agile delivery methodologies.

Preferred Qualification.

• Experience in Banking, Financial Services, or Wealth Management domains.
• Exposure to Data Quality, Data Governance, and Metadata Management frameworks.
• Knowledge of QA processes, test case creation, defect management, and data validation techniques.
• GCP Professional Data Engineer Certification preferred.
• Experience with migration from Teradata, Hadoop, Oracle, SQL Server, or other legacy platforms to GCP

Key Skills

Education

Bachelor's degree