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Mid-level generalist data engineer role in a metro with known analytics brand and broad skillset increases candidate competition.
Core cloud data engineering skills (SQL, Python, Azure) are broadly transferable across industries.
Explicit 4+ years requirement plus mandatory Azure, SQL, Python and Terraform skills create strict shortlisting filters.
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Design, develop, and maintain end-to-end data pipelines on Azure or comparable cloud platforms, ensuring data quality and operational reliability.
Review and merge code, troubleshoot production issues, and manage deployments to production and non-production environments.
Collaborate with stakeholders to define and estimate work, participate in agile ceremonies, and mentor junior engineers in technical growth.
4+ years experience designing, developing, and implementing data solutions on Azure or comparable cloud platform.
Strong proficiency in SQL and Python; experience with ADF, SQL Server or equivalent, Terraform or comparable tooling.
Bachelor's degree in Computer Science, Information Technology, or related discipline.
Work Experience Required: 4+ years in data engineering; Notice period: Not explicitly mentioned in the JD.
Experienced in building ETL/ELT pipelines that handle large volumes of structured and unstructured data with sound understanding of data warehousing and modeling.
Operates effectively in a fast-paced agile development environment, collaborating with cross-functional teams across time zones.
Skilled in mentoring junior engineers and integrating AI-assisted development tools for productivity and code quality improvements.