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Metro Hyderabad, popular data-engineer role with broad GCP/Kafka skills and recognisable employer increases competition.
Core GCP, BigQuery, Kafka skills transferable, but banking product context raises domain specificity.
Explicit 9–15 years plus mandatory GCP, BigQuery, Kafka, DBT and scripting skills make screening strict.
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Design, develop, and maintain data models, pipelines, and transformations using GCP services (BigQuery, Dataflow, DBT, Cloud Storage) and Apache Kafka Connect.
Write complex and efficient SQL queries and automate regression tests integrated with CI/CD pipelines to ensure feature requirements are met.
Collaborate across Data Operations, Software Engineering, Data Science, and Business SMEs to deliver data product features aligned with customer needs.
9-15 years of work experience in data engineering or related roles.
Proficiency in SQL querying, scripting languages including SQL, Bash, Python, Terraform, and Java.
Experience with cloud-native architecture and GCP services like BigQuery, Dataflow, DBT, Cloud Storage, plus Apache Kafka Connect.
Location requirement: based in Hyderabad with hybrid working; expectation to attend office at least two days a week.
Experienced in building automated regression testing integrated with CI/CD pipelines, indicating strong quality focus.
Demonstrates systems thinking and proficiency in cloud-native architectures, suited for robust data product development.
Collaborative communicator able to engage with multidisciplinary teams (Data Ops, Software Engineers, Data Scientists, Business SMEs).