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Tier-1 brand, metro locations, and a popular data-engineering lead title increase applicant competition.
Core data engineering skills transfer across industries though financial risk-controls favor industry experience.
Required ADF/Databricks expertise and financial risk-controls make screening strict.
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Lead and provide technical guidance to a team of data engineers ensuring adherence to architectural principles.
Design and implement data engineering, data ingestion, and transformation functions using Azure Data Factory (ADF) and Databricks.
Manage capacity planning and performance tuning for ADF and Databricks pipelines while collaborating with offshore development teams through all project lifecycle stages.
Experience in data engineering with hands-on expertise in Azure Data Factory and Databricks.
Work Experience Required: Not explicitly mentioned in the JD.
Strong knowledge of data ingestion, transformation, and pipeline performance tuning.
Experience working in team environments involving offshore collaboration and participation in requirement analysis, testing, and release phases.
Experienced in leading data engineering teams and driving adherence to architectural standards in complex environments.
Skilled in Azure cloud data platform components, specifically ADF and Databricks, with a focus on scaling and tuning.
Capable of developing team skills through knowledge sharing and upholding organizational risk and control standards.