Big Data Developer

Immediate Joiners Only

Job Title : GCP Big Data Engineer

Location : Bangalore / Gurugram

Experience : 4–12 years

About the Role

We are seeking a GCP Big Data Engineer with strong expertise in building, optimizing, and managing large-scale data solutions on Google Cloud Platform (GCP) . The ideal candidate will have hands-on experience in GCP Big Data services , PySpark , SQL , and ETL design , along with the ability to lead and deliver complex data engineering initiatives.

Key Responsibilities

Design, develop, and maintain scalable and efficient data pipelines using GCP Big Data technologies.

Implement ETL workflows using PySpark , SQL , and GCP-native services .

Drive architecture discussions and ensure adherence to best practices in performance, governance, and cost optimization.

Collaborate with cross-functional teams to enable seamless data ingestion, transformation, and analytics.

Lead and mentor team members in delivering end-to-end data engineering projects.

Ensure robust data quality, reliability, and performance across systems.

Required Skills

Mandatory Technical Expertise :

GCP Services : GCP Storage, BigQuery, DataProc, Cloud Composer, DMS, Datastream, Analytics Hub, Workflows, Dataform, Datafusion, Pub / Sub, Dataflow, Cloud Pub / Sub

Programming & Data Processing : Java, Python, Scala, PySpark, ETL Design

Big Data Ecosystem : Hadoop, Spark, Hive, etc.

Data Querying : Strong in ANSI-SQL

Workflow Orchestration : Apache Airflow

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

4–12 years of overall experience in data engineering, with a minimum of 3+ years on GCP.

Proven ability to lead data engineering initiatives and deliver large-scale data solutions.