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Strong employer brand, popular Data Engineer role, and metro location increases applicant competition significantly.
Core data engineering skills are transferable across industries but financial domain tools and governance create moderate specialization.
Explicit 9-15 years requirement plus mandatory GCP, BigQuery, DBT, Kafka and CI/CD skills raises screening strictness.
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Design, develop, integrate, and test Data Product features to meet customer needs.
Build and maintain data models, pipelines, and transformations using GCP services (BigQuery, Dataflow, DBT, Cloud Storage) and Apache Kafka Connect.
Develop automated regression tests integrated with CI/CD pipelines to validate requirements.
9-15 years of experience in data engineering or related roles.
Proficient in complex SQL querying and scripting languages such as Bash, Python, Terraform, and Java.
Experience with GCP data platform services and Apache Kafka Connect.
Location requirement: Based in Hyderabad; Hybrid working with some in-office presence.
Strong systems architecture and cloud-native principles understanding.
Experience collaborating across data operations, software engineering, data science, and business SME teams.
Skilled in source control tools like Git and GitHub and proactive about metrics-driven performance optimization.