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Tier-1 employer, metro location, mid-level data manager title and broad common data engineering skills increase competition.
Core data engineering skills (BigQuery, Airflow, dbt, Python) are highly transferable across industries.
Multiple mandatory cloud, dbt, Airflow, CI/CD and data engineering skills increase shortlisting rigor.
Design, build, and operate scalable, secure, and analytics-ready data pipelines and models on GCP BigQuery.
Build batch and streaming pipelines with Airflow-orchestrated workflows and automation, including incident resolution during production.
Maintain documentation for solutions, test procedures, and support during UAT and production phases.
Experience with GCP, specifically BigQuery, Airflow, and dbt for data transformations and pipeline orchestration.
Strong skills in advanced SQL, Python programming, data modeling (facts, dimensions, SCDs), and performance optimization of data pipelines.
B.Tech or BE degree.
Work Experience Required: Not explicitly mentioned in the JD. Location: Hyderabad.
Experienced in managing end-to-end data engineering pipelines on cloud platforms, focused on automation and scalability.
Ability to implement and optimize CI/CD and Infrastructure as Code deployments in data engineering workflows.
Comfortable collaborating with analytics, product, and platform teams to support production deployment and incident management.