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Mid-level data engineer role with common cloud and ETL stack attracts many qualified applicants.
Core data engineering skills (ETL, SQL, Python, cloud) are highly transferable across industries.
Explicit 5+ years ETL requirement and specific Snowflake/Airflow/Python/cloud skills tighten shortlisting.
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Develop and maintain scalable data pipelines and warehousing solutions to enable data programs and advanced business intelligence.
Lead data discovery sessions with business and technical teams to gather enterprise analytics data requirements.
Ensure reliability and trustworthiness of data through proper testing, monitoring, and assist BI engineers with technical challenges.
5+ years of experience in custom ETL design, implementation, and maintenance.
3+ years of experience in data architecture including data analysis, modeling, and integration.
Proficiency in Python, object-oriented programming, and SQL database design.
Experience with cloud platforms (AWS or Google), relational databases (Snowflake, Redshift), and orchestration tools (AirFlow preferred).
Experienced in leading cross-functional data discovery and collaborating with business and technical stakeholders for data-driven projects.
Strong background in scalable data engineering within cloud and hybrid Big Data environments.
Familiarity with agile methodologies, CI/CD, source control tools, and real-time data processing to support continuous delivery and monitoring.