Data Engineer with 3-5 years of experience in building scalable data pipelines using AWS services and strong communication skills.
We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders.
Key responsibilities
Design and develop scalable data pipelines using AWS services.
Implement ETL processes with AWS Glue, Lambda, and DBT.
Work with PySpark and SQL to transform and cleanse data.
Configure and manage Airflow workflows and Amazon EMR clusters.
Integrate data services with API Gateway and REST/Soap APIs.
Required qualifications
3 to 5 years of experience in data engineering.
Proficient in AWS S3, Glue, Lambda, DBT, PySpark, SQL, API Gateway, EMR, Airflow.
Hands‑on experience with REST and SOAP APIs.
Strong client communication and basic project lifecycle management.
Nice to have