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Tier-1 brand, metro location, and broad senior data-engineering skillset increase candidate competition.
Cloud ETL, Databricks, and streaming skills are broadly transferable across industries.
Requires senior-level data engineering expertise and specific cloud, Databricks, and streaming technology experience.
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Lead and mentor a high-performing data engineering team managing cloud and on-premise data platforms.
Design, build, and maintain scalable data pipelines, ETL workflows, and data architecture aligned with business objectives.
Drive modernization initiatives on Azure Cloud and related data technologies while ensuring operational excellence and cross-functional collaboration.
Work Experience Required: Not explicitly mentioned in the JD.
Strong skills in Big Data Engineering, Python for ETL and automation, advanced SQL, and database development (Oracle, MySQL, PostgreSQL, SQL Server).
Experience with cloud platforms, preferably Azure, including data migration to cloud and event streaming systems like Kafka or Azure Event Hub.
Knowledge of ETL orchestration tools (Airflow, Azure Data Factory), UNIX/Shell scripting, JSON/API integrations, and Master Data Management (MDM).
Hands-on technical leader experienced in modern data engineering and cloud migrations with AI-enabled automation.
Proven ability to balance strategic vision with hands-on leadership and strong technical decision-making.
Experienced in managing distributed teams, stakeholder communication, and driving both operational excellence and strategic transformation.