Job Title: Data Engineer - DBT

Experience: 4–6 Years

Location: GGN

Job Description

We are looking for a skilled Data Engineer with robust 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

📌 Data Engineer - DBT (Gurugram)
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📍 Gurugram