Mandatory Skills

- Minimum 3 years of experience in Data Engineering or Data Management projects.
- Hands-on experience with Microsoft Fabric , Snowflake , and Azure Databricks .
- Robust programming skills in SQL and Python .
- Good understanding of Database Management Systems (DBMS) .
- Experience in Data Warehousing , Data Modeling , and ETL development.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
- Bachelor's degree (15 years of full-time education) in Computer Science, IT, Engineering, or a related field.

Good to Have

- Experience with Power BI , Tableau , or other Business Intelligence tools.
- Exposure to Azure Data Factory (ADF) .
- Knowledge of Azure DevOps and CI/CD pipelines.
- Experience with Azure Storage Accounts , Data Lakehouse , and Medallion Architecture.
- Understanding of incremental and full data loading strategies.
- Exposure to Agile/Scrum methodology.

Roles & Responsibilities

- Design, develop, and optimize SQL queries, stored procedures, and data warehouse solutions.
- Build, maintain, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, Microsoft Fabric, and Snowflake .
- Develop scalable Data Lakehouse solutions using Medallion Architecture (Bronze, Silver,



Gold layers).
- Design efficient data ingestion strategies, including full and incremental data loads.
- Develop and maintain data models for reporting and analytics.
- Build interactive dashboards and reports using Power BI , Tableau , or similar BI tools.
- Document data workflows, ETL processes, and technical solutions for knowledge sharing.
- Collaborate with Data Analysts, Software Engineers, and Business Teams to understand data requirements and deliver high-quality datasets.
- Monitor data quality, troubleshoot pipeline issues, and ensure reliable data delivery.
- Follow best practices for data governance, security, and performance optimization.

Why Join Us?

- Work on modern cloud data platforms and enterprise-scale projects.
- Exposure to Microsoft Fabric, Snowflake, Azure, and Databricks ecosystems.
- Opportunity to collaborate with experienced Data Engineers and Architects.
- Career growth in cloud data engineering and analytics.

Pay: ₹900,000.00 - ₹1,500,000.00 per year

Application Question(s):

- CTC
- ECTC
- DOB
- Current location
- NP
- LWD
- PAN CARD to check the duplicate records?

Work Location: In person

📌 Senior Data Engineer (Hyderabad)
🏢 Cornerstone Solutions
📍 Hyderabad