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.
- Solid command of Python for data manipulation and automation.
- Deep expertise in Azure cloud tools:
- Azure Data Factory
- Azure Data Lake
- Azure Synapse / SQL
- Azure 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: Data Modeling, Azure Databricks, Etl Process, Sql, Stakeholder Management, ELT

Experience: 5.00-10.00 Years

📌 Azure Databricks (Hyderabad)
🏢 TechnoGen
📍 Hyderabad