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Tier-1 brand, popular mid-level data role, metro location, broad platform requirements increase applicant competition.
Core data engineering skills are transferable, but platform-specific experience (Snowflake/Databricks) raises moderate industry specificity.
Explicit years, leadership requirement, and mandatory platform and language skills make filters strict.
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Design and implement tailored data solutions from streaming to data lakes and analytics across evolving technical stacks.
Provide technology recommendations covering application layer to infrastructure, ensuring performance, security, scalability, and data integration.
Lead development and deployment of data platforms and pipelines using tools like Snowflake, Databricks, and AWS, adhering to Agile practices.
Minimum 4 years experience in Software Engineering, Data Engineering, or Data Analytics projects.
At least 2 years experience leading teams on data-related technical projects.
Proficient in coding with Python, Java, or Scala for production-grade data solutions.
Undergraduate or graduate degree preferred.
Experienced in core data platforms such as Snowflake, Databricks, and Azure with hands-on production experience.
Skilled in designing and maintaining ETL/ELT pipelines and medallion-layered data structures for reusable data products.
Capable of communicating complex technical concepts clearly through presentations and detailed documentation.