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Mid-level data engineering role in metro with generalist demand and moderate brand increases applicant competition.
Core data engineering skills transfer across industries, though Snowflake/Matillion specialization reduces portability slightly.
Explicit 6+ years requirement and mandatory Snowflake/Matillion/Python skills enforce strict shortlisting.
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Lead design, development, and delivery of scalable, cloud-based data engineering solutions using Python, Matillion, and Snowflake.
Manage end-to-end delivery of data integration, ETL/ELT pipelines, and data warehousing projects with focus on performance and cost optimization.
Mentor data engineers, establish engineering best practices, and collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
6+ years of experience in Data Engineering with leadership or project management responsibility.
Strong hands-on expertise in Python, Matillion, and Snowflake mandatory.
Experience with cloud platforms such as AWS, Azure, or GCP.
Advanced SQL, data modeling, and experience in building enterprise ETL/ELT pipelines; knowledge of Git, CI/CD, Agile/Scrum, and orchestration tools like Airflow also required.
Technical leader capable of managing data engineering teams and projects end-to-end in enterprise environments.
Strong domain expertise in cloud data warehousing and data pipeline architecture with a focus on scalable, high-performance solutions.
Experience driving data quality, governance, security, and operational excellence within large-scale enterprise data platforms.