Data Scientist
3 weeks ago
**Azure Synapse Analytics/ AWS RedShift / GCP Big Query**: Expertise in developing scalable data solutions, integrating data pipelines, performing data transformations, and analyzing large datasets.
- **Apache Spark for Data Transformation**: Proficient in using **Apache Spark** to perform large-scale data transformations, leveraging **PySpark** or **Spark SQL** for distributed data processing and efficient ETL (Extract, Transform, Load) workflows across large datasets.
- **Power BI, Tableau, and Amazon QuickSight**: Proficient in creating interactive dashboards, visualizations, and reports to communicate key insights. Skilled in translating complex data into actionable intelligence.
- **Python for Data Transformation and Analysis**: Experienced in using Python for data wrangling, transformation, and automation of data workflows, with libraries such as Pandas, NumPy, and Matplotlib to support in-depth analysis and visualization.
- **Data Pipeline Development**: Ability to design and implement end-to-end data pipelines, integrating multiple data sources, ensuring efficient data transformation and loading processes for analytics and reporting.
*
Minimum 2+ years of experience and should have preferably worked in the Finance, Supply Chain, Sales Data Sets
Pay: Up to ₹40,000.00 per month
**Benefits**:
- Paid sick time
- Paid time off
Schedule:
- Day shift
- Monday to Friday
**Experience**:
- total work: 2 years (required)
Work Location: In person
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