Job Title: Data Engineer - DBT
Experience: 4–6 Years
Location: GGN
Job Description
We are looking for a skilled
Data Engineer with strong hands-on experience in building and maintaining scalable data pipelines and cloud-based data platforms. The ideal candidate should have solid expertise in AWS services, data modeling, ETL frameworks, and modern data stack practices.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python, PySpark, SQL/PLSQL.
- Work extensively with AWS services such as S3, Lambda, EMR, Glue, Redshift, RDS (Postgres), Athena, and dbt.
- Implement and manage data lake and data warehouse solutions to support BI and analytics use cases.
- Develop and optimize data models and ensure best practices for modern file and table formats.
- Optimize Spark jobs for performance, cost, and scalability.
- Implement CI/CD pipelines for data workflows using DevOps tools like Jenkins, Terraform, and GitLab.
- Set up and maintain logging, monitoring, alerting, and dashboards for cloud and data solutions.
- Ensure data quality, reliability, and observability across pipelines.
- Collaborate with cross-functional teams to support analytics and business reporting needs.
Required Skills & Qualifications
- Strong hands-on experience with AWS cloud services for data engineering.
- Proficiency in Python, PySpark, SQL/PLSQL.
- Solid understanding of data modelling and data warehousing concepts.
- Experience with modern data stack tools (including dbt).
- Working knowledge of DevOps and CI/CD practices for data pipelines.
- Experience in setting up monitoring and observability for data platforms
