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Tier-1 employer, metro Hyderabad, and a popular early-career data role increase applicant competition.
Core SQL, Spark, Python and dbt skills are highly transferable across industries.
Explicit 1–3 years requirement plus specific SQL, Spark, Python and cloud/DBT skills narrows shortlisting.
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Develop and maintain core data models and pipelines for analytics, supporting self-service data use across the organization.
Collaborate with business teams to gather requirements and deliver scalable data-products that enable data-driven decision-making.
Use ELT frameworks (preferably DBT) and AWS architectural solutions to transform raw data into structured business-ready datasets and support AI/ML initiatives.
1-3 years of experience in analytical engineering, data modeling, or a similar role.
Proficiency in SQL, Spark, and Python; familiarity with data engineering tools like AWS and Airflow.
Preferred degree areas: Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering.
Some hands-on experience with or exposure to DBT preferred but not mandatory.
Early-career engineer focusing on developing foundational skills in data transformation, modeling, and pipeline optimization.
Ability to collaborate cross-functionally and translate technical data solutions for both technical and non-technical stakeholders.
Familiarity with version control (Git, SVN), Agile development, and visualization tools (Tableau, Power BI, Looker) preferred.