Location
Mumbai
Job Type
Full-time
Posted
June 03, 2026
Job Description
Big Data Developer / Data Engineer
Job Summary
We are seeking a highly skilled
Big Data Developer / Data Engineer
with strong expertise in
Spark, PySpark, DataProc, and Airflow
to design, build, and optimize scalable data processing pipelines on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience with big data technologies, cloud-native architectures, and distributed data processing frameworks.
Key Responsibilities
Design, develop, and maintain scalable big data solutions using
Spark
and
PySpark .
Build and optimize ETL/ELT pipelines for large-scale data processing.
Work with
Google Cloud Platform (GCP)
services including
DataProc, BigQuery, Cloud Storage, Compute Engine, and Cloud Functions .
Develop workflow orchestration pipelines using
Apache Airflow .
Create and optimize complex SQL queries for data transformation and analytics.
Job Summary
We are seeking a highly skilled
Big Data Developer / Data Engineer
with strong expertise in
Spark, PySpark, DataProc, and Airflow
to design, build, and optimize scalable data processing pipelines on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience with big data technologies, cloud-native architectures, and distributed data processing frameworks.
Key Responsibilities
Design, develop, and maintain scalable big data solutions using
Spark
and
PySpark .
Build and optimize ETL/ELT pipelines for large-scale data processing.
Work with
Google Cloud Platform (GCP)
services including
DataProc, BigQuery, Cloud Storage, Compute Engine, and Cloud Functions .
Develop workflow orchestration pipelines using
Apache Airflow .
Create and optimize complex SQL queries for data transformation and analytics.