About the Role :

We are seeking a Data Engineer to join our team. This role involves building and maintaining data pipelines on AWS and on-premises platforms.

Key Responsibilities :

- Design and implement data pipelines using AWS services such as S3, Glue, Lambda, and EMR.

- Develop ETL workflows in DBT and Pyspark.

- Set up and manage Airflow DAGs for scheduling and monitoring.

- Integrate and expose APIs using API Gateway for data consumption.

- Perform data modeling and documentation.

- Collaborate with clients and stakeholders to gather requirements and ensure project lifecycle adherence.

Required Qualifications :

- Bachelor's degree in Engineering (B.Tech) or equivalent.

- 3 - 5 years of experience in data engineering.

- Proficiency in SQL and Pyspark.

- Experience with AWS services (S3, Glue, Lambda, EMR).

- Strong communication skills and client-facing experience.

- Experience with Airflow and API development.

Nice to have :

- Knowledge of data modeling concepts.

- Experience with Nifi and Cloudera on-premise cloud environments.

- Experience with API REST and SOAP services.