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Moderate competition due to popular entry-level data role and metro location.
Data engineering skills are broadly transferable across industries despite shipping domain context.
Requires specific technical skills (Python, SQL, DSA) and degree, making filters moderately strict.
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Build, maintain, and operate Python automation scripts and workflows to eliminate repetitive manual processes across the business.
Schedule, monitor, and troubleshoot automation jobs ensuring reliability and early failure detection.
Support basic data pipeline tasks including data extraction, validation, loading, and database interactions with SQL.
0–1 year of work experience (Fresher level).
Degree in Computer Science, Information Technology, Engineering, or related field.
Strong foundation in Python programming and good working knowledge of SQL and relational databases.
Solid understanding of Data Structures and Algorithms (DSA).
Motivated fresher with strong analytical and problem-solving abilities and eagerness to learn automation and scripting technologies.
Comfortable working in a collaborative environment with mentorship and guidance from experienced engineers.
Interest or exposure to data engineering concepts, potentially with personal or academic projects involving automation or data pipelines.