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Common entry-level data-engineer role with general skills, causing moderate applicant competition.
Core data engineering skills like Python, SQL, and ETL are easily transferable across industries.
Mandatory degree plus core Python, SQL, and ETL tooling expectations create moderately strict shortlisting filters.
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Assist in building, maintaining, and optimizing ETL data pipelines under senior engineers' guidance.
Write and manage basic SQL queries and support PostgreSQL database operations.
Help schedule, monitor, and troubleshoot data workflows using Apache Airflow and collaborate on streaming applications with Apache Flink.
Education: Bachelor's or Master's degree in Computer Science, IT, Data Science, Mathematics, or related fields (recent graduates welcome).
Foundational knowledge of Python programming including data structures and basic libraries like Pandas.
Basic understanding of PostgreSQL and ability to write standard SQL queries (SELECT, JOIN, GROUP BY).
Theoretical or project-level exposure to Apache Airflow and a conceptual understanding of Apache Flink. Experience: Fresher (0-1 year) level.
Early-career individual transitioning academic/project knowledge into production-grade data engineering skills.
Comfortable working in a mentorship-driven environment collaborating closely with senior engineers.
Demonstrates foundational skills in Python, SQL, and data orchestration, with eagerness to learn advanced data engineering tools and practices.