Senior Data Engineer
[x]cube LABS (company site, opens in a new tab)3–6 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted on 26 Sept
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Job description
Structured overview of role & requirements
About This Role
- Perform comprehensive data analysis and present findings using Tableau dashboards and reports.
- Build and optimize data pipelines using Spark with Scala or PySpark to transform raw data into actionable insights.
- Support decision-making processes by delivering advanced data visualizations and data engineering solutions.
Minimum Requirements
- 3 to 6 years of professional experience in data analysis and data engineering.
- Proficiency in Tableau for advanced data visualization and report creation.
- Strong experience with Spark using Scala or PySpark for data pipeline development and optimization.
- Bachelor's degree in Engineering (B.Tech/B.E) or equivalent.
Ideal Candidate Profile
- Demonstrates senior-level capability in both data analysis and data engineering disciplines.
- Experienced in working with big data tools like Spark, Scala/PySpark, and data visualization platforms such as Tableau.
- Capable of independently delivering end-to-end data solutions that enable strategic business decisions.