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Mid-senior generalist data role in metro with broad tech stack increases applicant competition.
Core data engineering skills are transferable across industries despite some platform-specific preferences.
Explicit 7-10 years requirement plus specific cloud, ETL, and platform skills enforce strict shortlisting.
Design, build, and optimize scalable data pipelines and cloud-based data platforms supporting enterprise analytics, reporting, and AI/ML initiatives.
Develop and maintain ETL/ELT processes, ensure data quality, governance, and compliance with organizational standards.
Provide technical leadership, mentor junior engineers, and support Meridian platform data solutions implementation and operations.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of experience in Data Engineering or related disciplines.
Strong skills in SQL, Python/Scala/Java, ETL/ELT frameworks, data warehousing, data lakes, and cloud platforms (Azure, AWS, or GCP).
Experience with workflow orchestration tools (Airflow, Azure Data Factory), and knowledge of data quality, governance, and monitoring concepts.
Experienced senior-level data engineer with strong ownership of scalable, high-performance data pipelines in enterprise environments.
Proficient in cloud-based modern data platforms and integration solutions supporting large-scale analytics and AI/ML initiatives.
Comfortable providing technical guidance, collaborating with architects, analysts, and stakeholders, and supporting complex platform implementations like Meridian.