Key Responsibilities
- Perform advanced exploratory data analysis and statistical modeling using Python (Pandas, NumPy, Seaborn, etc.).
- Work with large datasets stored in Azure platforms like Data Lake, Synapse, and SQL Database.
- Design and manage ETL / ELT pipelines using Azure Data Factory and Databricks.
- Build insightful dashboards using Power BI or similar visualization tools.
- Collaborate with cross-functional teams to deliver data-driven business decisions .
- Maintain high standards for data integrity, quality, and governance .
- Automate recurring data tasks using Python and Azure-based workflows.
Required Skills
Minimum 5 years of hands-on experience in data analysis .Strong command of Python for data manipulation and automation.Deep expertise in Azure cloud tools :Azure Data FactoryAzure Data LakeAzure Synapse / SQLAzure Databricks (preferred)Proficient in SQL, data modeling, and ETL / ELT processes.Excellent problem-solving, communication, and stakeholder management skills.Bonus Points For
Experience with Power BI , Tableau, or similar BI tools.Familiarity with Git , CI / CD, or ML concepts.Holding Microsoft Azure certifications like DP-900 or DP-203.Soft Skills That Matter
Analytical thinker with great attention to detail.Strong communicator who can turn data into storytelling.Self-driven and team-oriented with a proactive attitude.Skills Required
Data Modeling, Azure Databricks, Sql, Etl Process, Stakeholder Management, ELT