Roles and Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Develop data engineering solutions using Python and SQL.
- Work extensively with Snowflake for data warehousing, data transformation, and optimization.
- Build and manage data processing solutions using Databricks.
- Leverage AWS cloud services for data storage, processing, and integration.
- Perform data transformation, cleansing, validation, and optimization.
- Troubleshoot data pipeline and production issues and ensure reliable data delivery.
- Collaborate with data architects, analysts, developers, and business stakeholders.
- Follow best practices for data quality, performance, security, and scalability.

Preferred candidate profile

- 6 to 8 years of overall experience in Data Engineering
- Robust hands-on experience with Snowflake
- Strong programming skills in Python
- Advanced SQL skills
- Hands-on experience with Databricks
- Good experience with AWS cloud services
- Strong understanding of ETL/ELT concepts and data pipelines
- Experience working with large datasets and cloud-based data platforms
- Good problem-solving and communication skills

📌 Data Engineer (Bengaluru)
🏢 Orcapod Consulting Services
📍 Bengaluru