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Team Member - Business Analytics

AdaniAhmedabad🇮🇳India

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationAhmedabad, India
GCPSQLETLBigQueryDatabricksGoogle CloudProcurementPythonSAPAzurePower BIData Analysis

Job description

  • Develop, optimize, and maintain queries using SQL, Python, Databricks, and BigQuery.
  • Design and manage data pipelines and workflows on platforms such as Google Cloud Platform (GCP) and Microsoft Azure.
  • Implement and oversee ETL (Extract, Transform, Load) processes to ensure accurate and timely data movement.
  • Integrate APIs with data lakes to enhance data accessibility and interoperability.
  • Create and deploy AI Agents within Databricks applications to automate analytical tasks and insights generation.
  • Utilize Databricks Genie for advanced data engineering and analytics solutions.
  • Collaborate with business stakeholders to understand procurement processes and translate requirements into actionable data solutions (experience in procurement is a plus).
  • Develop compelling data visualizations and narratives using Power BI to communicate insights and support business strategy.
  • Work with SAP systems for data extraction, transformation, and reporting (SAP knowledge is an added advantage).
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
  • 2 to 5 years of professional experience in data analysis, data engineering, or a related discipline.
  • Proficient in SQL, Python, Databricks, BigQuery, and data platform technologies (GCP, Azure).
  • Strong understanding of ETL processes and API integration with data lakes.
  • Experience in creating AI agents within Databricks and familiarity with Databricks Genie.
  • Ability to present complex data findings through visualization and storytelling in Power BI.
  • Process knowledge in procurement and experience with SAP systems is highly desirable.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work collaboratively in a fast-paced, cross-functional environment.

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