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Strong employer brand, mid-level generalist data role, metro location, and common title increase competition.
Core data engineering skills (SQL, Snowflake, Python, Airflow) are highly transferable across industries.
Mandatory 2+ years plus required Snowflake, Azure, SQL, Python, and Airflow skills enforce strict shortlisting.
Develop, troubleshoot, and enhance data engineering applications using Python, Fast API, Snowflake, Postgres, Azure cloud services, and related technologies.
Deploy application components with CI/CD pipelines and ingest data from multiple sources, performing complex business transformations to create reportable datamarts.
Collaborate with Agile cross-functional teams including internal and external clients across Operations, Infrastructure, and Tech Ops.
Minimum B.S. degree in Computer Science, Computer Engineering or related field.
At least 2 years of software engineering experience.
Must have experience with Microsoft Azure cloud technologies and strong skills in Python, complex SQL, data warehousing concepts, and object-oriented programming.
Experience with DevOps tools such as GitHub, Kubernetes, and Docker is preferred but not mandatory.
Experienced in cloud-based data engineering with strong expertise in Python and SQL for complex data transformations.
Comfortable working in an Agile environment collaborating with cross-functional technology teams and business stakeholders.
Proficient in DevOps CI/CD deployment pipelines and monitoring automation, with focus on Microsoft Azure and related data platforms.