Job Description

Job Title: Data Operations Engineer
Experience: 5+ Years
Location: Pune
Work Mode: Remote
Qualification: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Roles & Responsibilities
Monitor and maintain data pipelines and ETL workflows to ensure high 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 DevOps teams to support data infrastructure needs.
Implement and manage monitoring, alerting, and logging systems for data pipelines.
Maintain and enhance data governance, access controls, and compliance with data policies.
Support deployment, configuration, and maintenance of data tools, services, and platforms.
Participate in on-call rotations and incident response for data system outages or failures. Required Skills & Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
5+ years of experience in data operations, data engineering, or a related role.
Strong proficiency in SQL with hands-on experience in relational databases such as PostgreSQL or MySQL.
Experience with data pipeline and orchestration tools (e.g., Apache Airflow).
Hands-on experience with cloud platforms such as AWS or GCP and cloud-based data services (e.g., Redshift, BigQuery).
Proficiency in scripting languages such as Python, Bash, or Shell.
Familiarity with version control systems (Git) and CI/CD workflows.
Strong problem-solving skills and ability to work in a fast-paced, production environment.

Skills Required