Gcp Data Engineer ( Production Support Environment)

Ascendion Engineering; Pune District, Chennai District, Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

Ascendion Engineering in Pune, India seeks a data platform production support engineer to monitor and resolve data pipeline incidents on enterprise systems. You will work with GCP, EDM concepts, and SQL-based validation to ensure data reliability.

The role requires Python and PySpark experience, with Airflow for orchestration and strong incident management skills to keep production running smoothly and to drive continuous improvements.

Qualifications

• Experience providing production support for data platforms and applications.
• Strong SQL skills for data validation and analysis.
• Hands-on Python and PySpark experience.
• Knowledge of EDM concepts and data integration.
• Experience with Airflow for workflows.
• Familiar with incident management and monitoring.

Responsibilities

• Provide production support and monitor data pipelines.
• Troubleshoot and resolve data pipeline failures and incidents.
• Develop and maintain data workflows using Airflow.
• Validate data using SQL and perform data quality checks.
• Collaborate with data engineers to improve EDM processes.

Skills

SQL

Python

Airflow

Incident management

Production support

Data validation

Tools

Google Cloud Platform (GCP)

PySpark

Data warehousing tools

Job description

• Provide production support for enterprise data platforms and applications.
• Monitor, troubleshoot, and resolve data pipeline failures and production incidents.
• Strong hands-on experience in Google Cloud Platform (GCP).
• Experience with Enterprise Data Management (EDM) concepts and processes.
• Strong proficiency in SQL for data validation, troubleshooting, and analysis.
• Hands-on experience in Python programming.
• Experience working with PySpark for large-scale data processing.
• Strong knowledge of Apache Airflow for workflow orchestration and monitoring.
• Understanding of data warehouse, ETL, and data integration concepts.
• Experience with incident management, production support, and monitoring tools.