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Job Description Job Description What's this role about Job Summary We are seeking a skilled GCP Data Engineering Developer with strong hands-on experience in designing and implementing data migration solutions from traditional SQL databases to Google Cloud Platform (GCP). The ideal candidate will have a solid understanding of banking data structures and compliance requirements, and will contribute to building secure, scalable, and efficient data pipelines for banking analytics and operations. Key Responsibilities Data Migration & Engineering - Develop and implement data migration workflows from SQL-based systems (e.g., Oracle, SQL Server, MySQL) to GCP services like BigQuery, Cloud SQL, Cloud Spanner, and Cloud Storage. - Build and optimize data pipelines using Dataflow, Pub/Sub, Cloud Composer, and Apache Beam. - Perform data validation, reconciliation, and quality checks post-migration. Banking Domain Focus - Work with banking datasets such as customer profiles, transaction records, loan and credit data, and regulatory reporting. - Ensure data handling aligns with RBI, PCI-DSS, and GDPR compliance standards. Collaboration & Documentation - Collaborate with architects, business analysts, and QA teams to understand requirements and deliver robust solutions. - Document data flows, migration logic, and pipeline configurations for audit and operational transparency. Monitoring & Optimization - Monitor pipeline performance and troubleshoot issues in real-time. - Optimize queries and storage for cost and performance efficiency. Required Skills & Qualifications - 810 years of experience in data engineering, with at least 23 years working on GCP. - Strong hands-on experience with GCP services: BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer. - Proficiency in SQL, Python, and Java/Scala. - Experience with data migration tools and frameworks (e.g., Talend, Informatica, Google Transfer Service). - Familiarity with banking data models and regulatory compliance. - Experience with Git, CI/CD pipelines, and Terraform is a plus. Preferred Qualifications - GCP Associate or Professional Data Engineer certification. - Experience in ETL/ELT design, data quality frameworks, and metadata management. Exposure to real-time analytics or fraud detection systems in banking. Here's How You'll Contribute You'll do this by: Core Skills Desired Skills: How We'd Like You To Lead Advantage Zensar We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity. Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans status. Zensar Is a Place Where You Are Free To Express Yourself In An Environment That Values Individuality, Nurtures Development And Is Mindful Of Wellbeing. We Put Our People And Customers At The Center Of Everything That We Do. Our Core Values Include - Putting people first - Client-centricity - Collaboration Grow. Own. Achieve. Learn. with Zensar