Bangalore, Karnataka, India
Information Technology
Full-Time
Skeps
Overview
Responsibilities
- Develop and maintain scalable data pipelines using PySpark and Delta Lake, ensuring efficient processing of large, structured, and semi-structured datasets.
- Analyse complex data sets using SQL, Python (Pandas, NumPy, scikit-learn, Seaborn) to identify trends, patterns, and opportunities for process improvement.
- Continuously optimize the performance of data processing systems and maintain high levels of accuracy.
- Design and build interactive dashboards and reports using tools like Metabase, Tableau, or Power BI.
- Collaborate with management to prioritize business and information needs.
- Bachelor's or Master's degree in Statistics, Mathematics, Engineering, Computer Science, or a related field.
- 2+ years of experience as a Business Analyst, with strong expertise in PySpark, Delta Lake, and SQL.
- Solid understanding of data models, database design, and development.
- Experience building incremental data pipelines and implementing watermark-based processing.
- Proficiency with Python and libraries like Pandas, NumPy, scikit-learn, and Seaborn for data analysis and visualization.
- Experience developing dashboards and interactive reports using Metabase, Tableau, or similar tools.
- Strong analytical skills with a keen eye for detail, accuracy, and quality.
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