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Popular entry-level data role, metro location, and broad skill requirements increase applicant competition.
Data engineering and analytics skills are highly transferable across industries.
Strong mandatory SQL and Python requirements plus practical assessments create moderate shortlisting strictness.
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Build and maintain reliable data pipelines, ensuring accurate extraction, transformation, and loading of data from operational to analytical systems.
Develop efficient SQL queries and Python scripts for data manipulation, automation, validation, and dashboard creation to support business decision-making.
Collaborate with business users and technical teams to troubleshoot data issues, ensure data quality, and enhance reporting reliability.
Bachelor's degree or equivalent in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or related discipline.
Strong proficiency in SQL including complex queries, database concepts, and performance understanding.
Strong Python programming skills with experience in data libraries (pandas, NumPy) and dashboard or visualization tools.
Work Experience Required: Not explicitly mentioned in the JD; suitable for fresh graduates with relevant academic projects/internships.
Recent graduate or entry-level candidate with demonstrated hands-on skills in SQL and Python through projects, internships, or assessments.
Detail-oriented individual with a clear understanding of data pipeline processes (ETL/ELT), database management, and data validation techniques.
Candidate capable of translating business requirements into technical solutions and effectively communicating with both technical and non-technical stakeholders.