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Tier-1 employer, metro location, and generalist entry-level data role increase candidate competition.
Core data engineering skills (PySpark, Python, AWS) are highly transferable across industries.
Mandatory technical skills (PySpark, Python, S3) but no explicit years creates moderately strict screening.
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Contribute to projects involving data engineering and AI technologies such as Apache Spark, PySpark, Python, and data sources like S3 and PostgreSQL.
Learn and adapt quickly to new technologies and environments while collaborating with team members to solve complex technical problems.
Be mentored by experienced engineers to develop skills, contribute innovative solutions, and support continuous system improvement.
Familiarity with data engineering tools: Apache Spark/PySpark, Python, Pandas.
Experience with data sources including S3 and PostgreSQL databases.
Knowledge of schema validation methods such as Pydantic or custom Python validators.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working with a range of frontend, backend, and database technologies as part of a team.
Eager to quickly learn and integrate new technical skills and tools in a dynamic environment.
Capable of collaborating effectively under mentorship to contribute meaningfully to innovative AI-related projects.