This req. is from HCL. Pls check for duplicacy.

No JNTU. Pls look for other location candidate except Hyderabad.

We have having 10 Data Engineer positions where we are seeking your immediate support.

Job Description – Data Engineer with Power BI

Position: Data Engineer with Power BI

Experience: 5–6+ Years

Priority: P1

Work Mode: Hybrid (2 days/week from office)

Locations: Noida, Pune, Bangalore, Chennai, Hyderabad

Working Hours: 11:00 AM – 9:00 PM

Job Summary

We are seeking an experienced Data Engineer with expertise in contemporary cloud-based data engineering solutions. The ideal candidate should have strong experience in Azure Data Services, Databricks, Snowflake, Data Modelling, and CI/CD. The role involves designing, building, and optimizing scalable data pipelines and data platforms while ensuring high data quality, governance, and performance.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Data Services and Databricks.

Build and optimize data solutions on Snowflake for analytics and reporting.





Develop and maintain ETL/ELT workflows for structured and semi-structured data.

Design and implement data models, data warehousing solutions, and dimensional models.

Work with Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics.

Develop data transformation logic using Python, PySpark, and SQL.

Implement CI/CD pipelines using GitHub Actions and follow DevOps best practices.

Collaborate with cross-functional teams to understand business requirements and deliver data solutions.

Ensure data quality, governance, performance optimization, and security across data platforms.

Support reporting and visualization requirements using Power BI.

Required Skills

5–6+ years of experience in Data Engineering.

Strong hands-on experience with Snowflake and Azure Data Services.

Expertise in Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and Azure Synapse.

📌 Data Engineer with Power BI (India)
🏢 Sparix Global
📍 India