Sr Data Operations; Pipeline Monitoring​/Maintenance ,Python, SQL Product -Pun

Position: Sr Data Operations (Pipeline Monitoring/ Maintenance ,Python, SQL)  for US Product based Company-Pun
Position:
Sr Data Operations
Years of Experience – 5-8 Years

Job Location:

(Remote)

The Position
Our Client is looking for  Software Engineer II for Data Operations team  to maintain data infrastructure, pipelines, and work-flows. You will play a key role in ensuring the smooth ingestion, transformation, validation, and delivery of data across systems.

Responsibilities & Skills
Monitor and maintain data pipelines and ETL processes to ensure reliability and performance.
Automate routine data operations tasks and optimize workflows for scalability and efficiency.
Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
Collaborate with data engineering, analytics, and Dev Ops teams to support data infrastructure.
Implement monitoring, alerting, and logging systems for data pipelines.
Maintain and improve data governance, access controls, and compliance with data policies.
Support deployment and configuration of data tools, services, and platforms.
Participate in on-call rotation and incident response related to data system outages or failures.

Required Skills :
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
5-8 years of experience in data operations, data engineering, or a related role.
Strong SQL skills and experience with relational databases (e.g., Postgre

SQL, MySQL). Proficiency with data pipeline tools (e.g., Apache Airflow).

Experience with cloud platforms (AWS, GCP) and cloud-based data services (e.g., Redshift, Big Query).
Familiarity with scripting languages such as Python, Bash or Shell.
Knowledge of version control (e.g., Git) and CI/CD workflows.