We are looking for an experienced GCP Data Engineer with strong expertise in cloud data platforms, ETL pipelines, BigQuery, and modern data engineering practices.

Key Responsibilities

• Design, develop, and manage scalable data pipelines on Google Cloud Platform (GCP)
• Work extensively with BigQuery, Cloud SQL, Pub/Sub, Dataflow, and GCS
• Develop and optimize ETL/ELT workflows using approved ETL tools
• Build robust SQL/PLSQL scripts and data transformation logic
• Automate workflows and scheduling processes using Airflow/Composer or equivalent schedulers
• Collaborate with cross-functional teams in Agile environments for end-to-end data delivery
• Ensure data quality, governance, performance optimization, and troubleshooting
• Manage incidents, changes, and problem resolution activities
• Support CI/CD implementation and cloud deployment processes

Required Skills

• Strong expertise in GCP, BigQuery, Airflow, SQL, and Python
• Hands-on experience with GCP components including GCS, Cloud SQL, Pub/Sub/Kafka, Dataflow, and Google Cloud SDK
• Strong SQL / PLSQL scripting experience
• Experience with ETL tools such as Talend, Datastage, Informatica IICS, Data Fusion, Dataflow, or Dataproc
• Good knowledge of Linux/Unix environments
• Experience working with RDBMS systems
• Strong scheduler knowledge – Control M / UC4 Atomic / Airflow Composer preferred
• Familiarity with Hadoop, NiFi, or Kafka is an added advantage
• Understanding of Agile lifecycle and support processes

Preferred Profile

• GCP Data Engineer Certification is an added advantage
• Strong analytical, troubleshooting, and problem-solving skills
• Ability to work in fast-paced enterprise data environments

Interested candidates may share their resume at: rashmita.r@mitrhr.com, khushboo.a@mitrhr.com