Data Engineer

Location : Hyderabad

Work Mode : Work From Office (5 Days)

Experience : 3+ Years

About the Role :

Skilled Data Engineers to join growing data engineering team. The ideal candidate will have experience in modern data platforms, ETL development, cloud-based data solutions, and data warehousing technologies. You'll work on building scalable data pipelines and delivering high-quality data solutions for enterprise clients.

Key Responsibilities :

- Design and develop efficient SQL queries and data warehouse solutions.

- Build and maintain scalable ETL pipelines using Azure Data Factory, Databricks, and Snowflake.

- Develop and manage Data Lake solutions using the Medallion Architecture.

- Design data ingestion strategies, including full and incremental data loads.

- Build dashboards and reports using Power BI, Tableau, or similar BI tools.

- Document data pipelines, workflows, and technical processes.

- Collaborate with data analysts, software engineers, and stakeholders to deliver business-driven data solutions.

Required Skills :

- Minimum 3 years of experience in Data Engineering or Data Management projects.

- Hands-on experience with Microsoft Fabric, Snowflake, and Databricks.

- Strong programming skills in SQL and Python.

- Good understanding of Data Warehousing, Database Management Systems, and Data Modeling.

- Strong analytical and problem-solving skills.

- Excellent verbal and written communication skills.

- Experience working with Azure Data Factory, Data Lake, Azure Storage, and Azure DevOps is preferred.

Preferred Qualifications :

- Bachelor's degree in Engineering from a Tier-1 or Tier-2 engineering college.

- Candidates from premier institutes will be given preference as per the hiring guidelines.

What We Offer :

- Competitive salary package.

- Health insurance covering family members (up to 5 Lakhs) along with accidental insurance.

- Opportunity to work on modern cloud and data engineering technologies.

- Career growth in a fast-growing technology services company.