Data Engineer

Job Description

8+ years of Data Engineering experience 5+ years of Cloud experience (GCP preferred) with solutions designed and implemented at production scale Strong understanding of key GCP services, especially those related to data processing [Batch/Real Time] Big Query, Cloud Scheduler, Airflow, Postgres, Data Flow, Pub/Sub, Cloud Logging and Cloud Monitoring Experience with infrastructure as code Terraform/ GitHub Experience in design, development and implementation of data pipelines using Data Warehousing applications Experience in integrating various data sources like Oracle, Teradata, DB2, Big Query & Flat files Hands on experience in performance tuning and debugging ETL jobs Involving in review meetings and coordinating with the team in job designing and fine-tuning the job performance. BE/BTech in CS/IT or equivalent degree in relevant domain Proven experience in data engineering [IBM DataStage or equivalent Cloud ETL preferred] Strong knowledge of ETL processes, data integration and data management Proficiency in programming languages such as SQL, Python or Java Familiarity with cloud computing platforms and data storage solutions Excellent problem-solving skills and ability to work independently as we'll as team player Professional Certification in GCP (eg, Professional Data Engineer) Experience in Mainframe to GCP migration considered plus Agile Methodology Practitioner Responsible for gathering business requirements and design ETL systems to meet application needs Work closely with stakeholders to gather requirements and provide technical guidance on the migration process Collaborate with the data engineering teams to understand the existing JCL/ETL jobs and their dependencies. Design and implement migration strategies for moving ETL to GCP native services. Develop, test, and deploy data pipelines and workflows, ensuring scalability, reliability, and performance Troubleshoot and resolve any production issues or challenges that arise during the migration Deliver product features as part of roadmap and business needs Lead in Effort estimation for the new developments and enhancements. Co-create test plan and lead execution and code deployment. Lead performance tuning to optimize the job execution. Responsible for validating, run, scheduling and monitoring jobs using data stage director Responsible for debugging Ticketing issues in the production phase