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Popular mid-level Data Engineer title, required skills breadth, and Hyderabad metro increase candidate competition.
Data engineering and cloud tooling are broadly transferable across industries, enabling cross-industry fit.
Mandatory 5+ years plus specific DBT, IICS, GCP and advanced SQL requirements make filters strict.
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Lead and manage an offshore data engineering team to develop and operationalize scalable data pipelines and models for reports and advanced analytics.
Act as the technical liaison between customers and offshore teams, leading design activities and ensuring delivery of high-quality data engineering solutions using cloud services and ETL tools.
Engage hands-on in building data models, developing ETL/ELT pipelines using DBT and Informatica Intelligent Cloud Services, optimizing data reliability, quality, and efficiency.
Minimum 5 years experience engineering and operationalizing data pipelines with large, complex datasets.
At least 5 years hands-on experience with DBT and Informatica Intelligent Cloud Services (IICS).
4+ years experience working with Google Cloud technologies including Dataflow, Data Fusion, Pub/Sub, DBT, BigQuery, Cloud SQL.
Advanced SQL skills and strong understanding of data modeling, ETL, data warehousing, and various database storage concepts.
Experienced leader capable of managing offshore teams and acting as primary bridge between customers and engineering teams.
Strong expertise in cloud-based data engineering with focus on Google Cloud ecosystem and ETL pipeline development.
Skilled in translating customer requirements into technical solutions with emphasis on quality, optimization, and process-driven delivery.