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Popular mid-level Data Engineer role, metro hiring, and 5+ years requirement increase candidate competition.
Core data engineering skills transfer broadly, but DBT/IICS/GCP tooling produces moderate industry specificity.
Mandatory 5+ years plus DBT, IICS and GCP skills create strict shortlisting filters.
Lead and manage an offshore data engineering team to develop and operationalize scalable data pipelines and models.
Bridge communication between customers and the offshore team, translating requirements and feedback into clear technical outcomes.
Oversee technical design and delivery quality, including data ingestion, transformation, validation, and pipeline optimization using cloud-based tools and ETL technologies.
5+ years experience engineering and operationalizing large, complex data pipelines.
5+ years hands-on experience with DBT and Informatica Intelligent Cloud Services (IICS).
4+ years experience with cloud technologies such as Google Cloud Dataflow, Data Fusion, Pub/Sub, Dataform, BigQuery, and Cloud SQL.
Advanced SQL skills and strong understanding of database storage concepts including data lakes, relational, NoSQL, and data warehousing.
Experienced in leading offshore teams and managing technical design processes for data solutions.
Proficient in designing and optimizing data pipelines in a cloud environment, particularly Google Cloud Platform.
Familiar with agile development methodologies and capable of working closely with Data Architects, Data Scientists, and BI Engineers.