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Common mid-level data-engineer title and 5+ years requirement increase applicant competition.
Data engineering skills are broadly transferable, though Google Cloud/dbt focus raises moderate specificity.
Multiple explicit years and mandatory DBT/IICS plus Google Cloud and SQL requirements enforce strict filters.
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Lead and manage an offshore Data Engineering team to develop and operationalize data pipelines ensuring high-quality delivery.
Serve as the primary liaison between customers and the offshore team to translate requirements, present solutions, and incorporate feedback.
Design and build scalable data models and pipelines leveraging Google Cloud services and ETL/ELT tools such as DBT and Informatica Intelligent Cloud Services.
5+ years’ experience in engineering and operationalizing data pipelines with large, complex datasets.
Hands-on expertise (5+ years) with DBT and Informatica Intelligent Cloud Services (IICS).
4+ years’ experience with Google Cloud technologies including Dataflow, Data Fusion, Pub/Sub, BigQuery, and advanced SQL skills.
Strong experience in Data Modeling, ETL, and Data Warehousing with solid understanding of relational databases and data storage concepts.
Experienced in leading and managing offshore technical teams with strong technical design and quality assurance capabilities.
Proficient in Google Cloud ecosystems and modern ETL/ELT toolsets, able to bridge customer requirements with technical execution.
Familiar with agile software development and has prior exposure to collaborating with cross-functional teams including Data Architects and Data Scientists.