Data Engineer – Snowflake | Azure Databricks | Data WarehouseJob Title
Experience Required
5–6 Years
Work Location
Hybrid (2 days/week from office)
Preferred Locations:
- Noida
- Bengaluru
- Hyderabad
- Vijayawada
Work Timings
11:00 AM – 9:00 PM IST
Job Summary
We are seeking an experienced Data Engineer with strong expertise in Snowflake, Azure Data Services, Databricks, and modern Data Warehousing solutions. The ideal candidate will be responsible for designing, developing, and maintaining scalable data platforms, ETL/ELT pipelines, and analytical solutions. Exposure to AI/GenAI-driven data solutions and Power BI reporting is highly desirable.
Primary Skills
- Snowflake
- Azure Databricks
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure Synapse Analytics
- Azure SQL Database
- Data Engineering & Data Modeling
- Data Warehousing Concepts
- Dimensional Modeling
- Data Design Patterns
- Python
- PySpark
- Advanced SQL
- CI/CD Pipelines
- GitHub Actions
- AI/GenAI Integration
- Power BI (1–2 years of hands-on experience)
Secondary Skills
- GraphQL
- REST APIs
- Terraform
- Azure Functions / Python Function Apps
- Kafka
- MongoDB
- PowerApps
Key Responsibilities
- Design, build, and optimize scalable data pipelines using Azure Data Services and Databricks.
- Develop and maintain enterprise data warehouse solutions using Snowflake.
- Implement robust data models, dimensional models, and data architecture best practices.
- Create efficient ETL/ELT workflows using Azure Data Factory and Databricks.
- Develop data transformation logic using Python, PySpark, and SQL.
- Integrate data solutions with APIs, Kafka streams, and cloud-native services.
- Implement CI/CD pipelines using GitHub Actions and Infrastructure as Code (Terraform).
- Collaborate with business stakeholders to understand reporting and analytics requirements.
- Build and support Power BI dashboards and reporting solutions.
- Explore and implement AI/GenAI-enabled data use cases and automation opportunities.
- Ensure data quality, governance, security, and performance optimization.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5–6 years of experience in Data Engineering and Data Warehousing.
- Strong hands-on experience with Snowflake and Azure Data Platform.
- Expertise in Python, PySpark, and SQL development.
- Experience working with Databricks in production environments.
- Good understanding of CI/CD processes and DevOps practices.
- Excellent problem-solving and communication skills.
Preferred Qualifications
- Experience with AI/ML or GenAI-driven data solutions.
- Knowledge of Kafka-based streaming architectures.
- Experience with Terraform and cloud infrastructure automation.
- Exposure to GraphQL and modern API integrations.
- Microsoft Azure certifications are a plus.
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Work Location: Hybrid remote in Bangalore Corporation Building, Bengaluru, Karnataka
