Job Description

• 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.

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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:

• Paid sick time
• Paid time off

Schedule:

• Day shift
• Monday to Friday

Experience:

• total work: 2 years (Required)

Work Location: In person