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Mid-level, popular data-engineer title in a metro with common skillset produces high applicant competition.
Core data engineering skills (SQL, Postgres, ETL, Python) are highly transferable across industries.
Multiple explicit 5+ year requirements and mandatory technical skills indicate high shortlisting strictness.
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Manage data lifecycle including requirements gathering, modeling, migration, transformation, validation, and quality assurance across multiple database platforms.
Use internal and external ETL tools to process and publish data; maintain and optimize company databases and data structures.
Proactively identify and resolve complex data issues; contribute to data and software development lifecycle phases; handle production defects and off-hours emergency data processing.
Bachelor's degree (B.A. / B.S.) or equivalent combination of education and experience.
2 to 4 years of related experience or training in data engineering and management.
5+ years of experience with SQL, database design, optimization, and tuning, including 5+ years with PostgreSQL.
3+ years of experience with GitHub, Shell Scripting, one object-oriented language (Python or PHP), and CI/CD tools like Jenkins in Agile environments.
Experienced in managing end-to-end client data lifecycles and resolving complex data issues independently.
Proficient in multiple programming and scripting languages with strong focus on database optimization and continuous integration.
Comfortable working in Agile development environments with strong time management and communication skills.