Azure Synapse Analytics/ AWS Red Shift / 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 Py Spark or Spark SQL for distributed data processing and efficient ETL (Extract, Transform, Load) workflows across large datasets.
Power BI, Tableau, and Amazon Quick Sight: 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, Num Py, 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 Job Type: Full-time Pay: Up to ₹40,000.00 per month Benefits: