Data Engineer, Snowflake & Databricks
RMV Workforce LLP
About the Role
- On-site position based in Bengaluru South.
- Designs, builds, and maintains scalable data pipelines and architectures using Snowflake, Databricks, and related cloud data platforms.
- Collaborates closely with data analysts, data scientists, and business stakeholders to understand requirements, model data structures, and deliver reliable data solutions.
- Monitors data systems, troubleshoots issues, and improves existing workflows and data infrastructure.
Key Responsibilities
- Implement ETL processes.
- Optimize data flows between various systems.
- Ensure data quality, availability, and performance for analytics and reporting needs.
Requirements & Tech Stack
- Snowflake
- Databricks
- SQL
- Python or Scala
- Cloud ecosystems (AWS, Azure, or GCP) and related data services and tools.
Qualifications
- Strong data engineering skills.
- Experience in building and maintaining data pipelines.
- Experience working with modern data platforms such as Snowflake and Databricks.
- Proficiency in data modeling and data warehousing concepts.
- Hands-on experience with Extract Transform Load (ETL) processes, including development, optimization, and orchestration.
- Ability to perform data analytics tasks, interpret data, and support stakeholders.
- Experience with SQL and at least one programming language commonly used in data engineering (such as Python or Scala).
- Familiarity with cloud ecosystems (AWS, Azure, or GCP) and related data services and tools.
- Strong problem-solving skills.
- Attention to detail.
- Ability to work effectively in cross-functional teams.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.