Job description
Senior Data Engineer
Location: Bangalore (Work from Office - 5 Days/Week)
Experience: 5- 8 Years
Notice Period: Immediate to 30 Days Preferred
Primary Skills
- AWS Glue, Apache Spark, AWS Redshift
- dbt Development
- Informatica PowerCenter & Informatica Cloud
- ETL Development & Data Integration
- SQL, Relational Databases
- Data Modeling & Data Warehousing
- CI/CD Pipelines, GitHub Actions
Secondary Skills
- AWS S3, Databricks, Tableau
- Big Data & Data Lakes
- Data Governance & Data Quality
- GitHub, Release Management
- Power Automate, Power Apps
Key Responsibilities
- Design, develop, and maintain scalable ETL and data pipelines using AWS Glue, Spark, Redshift, and Informatica.
- Build and optimize dbt models for data transformation and reporting.
- Develop business-ready datasets and improve data processing performance.
- Create and manage CI/CD pipelines using GitHub Actions.
- Ensure data quality, freshness validation, monitoring, and troubleshooting.
- Design and maintain data models, warehouses, and integration solutions.
- Implement data governance, security, and best practices across the platform.
- Support BI and analytics teams with reliable data solutions.
Preferred Experience
- Hands-on experience with Databricks, Tableau, Big Data, and AWS Data Lakes.
- Exposure to workflow automation tools such as Power Automate and Power Apps.
- Strong analytical, problem-solving, and stakeholder management skills.
Tools & Technologies
AWS: Glue, Redshift, S3, Spark
ETL: Informatica PowerCenter, Informatica Cloud
Transformation: dbt
DevOps: GitHub, GitHub Actions, CI/CD
BI: Tableau
Data Platforms: Databricks, Data Lakes
Skills
Mandatory Skills : Apache Spark, AWS Glue, CI/CD Architecture, DBT, Redshift
Good to Have Skills : BI Solutions Architecture, Data lakehouse Architecture, Databricks, Dimensional Data Modeling, GitHub, Informatica DATA Quality, Informatica PowerCenter, MySQL, Performance Testing -Performance Engineering, PostgreSQL, Scope & Change Management, Tableau
