Role: Data Operations Engineer What You’ll Do Operations Support ● Monitor and triage production data pipelines, ingestion jobs, and transformation workflows (e.g. dbt, Snowflake tasks) ● Manage and resolve data incidents and operational issues, working cross-functionally with platform, data, and analytics teams ● Develop and maintain internal tools/scripts for observability, diagnostics, and automation of data workflows ● Participate in on-call rotations to support platform uptime and SLAs Data Platform Engineering Support ● Help manage infrastructure-as-code configurations (e.g., Terraform for Snowflake, AWS, Airflow) ● Support user onboarding, RBAC permissioning, and account provisioning across data platforms ● Assist with schema and pipeline changes, versioning, and documentation ● Assist with setting up monitoring on new pipelines in metaplane Data & Analytics Engineering Support ● Diagnosing model failures and upstream data issues ● Collaborate with analytics teams to validate data freshness, quality, and lineage ● Coordinate and perform backfills, schema adjustments, and reprocessing when needed ● Manage operational aspects of source ingestion (e.g.,



REST APIs, batch jobs, database replication, kafka) (confirm the writeup with Jason Prentice) What We’re Looking For Required Qualifications ● At least 2–4 years of experience in data engineering, DevOps, or data operations roles ● Solid understanding of contemporary data stack components (Snowflake, dbt, Airflow, Fivetran, cloud storage) ● Proficiency with SQL and comfort debugging data transformations or analytic queries ● Basic scripting/programming skills (e.g., Python, Bash) for automation and tooling ● Familiarity with version control (Git) and CI/CD pipelines for data projects ● Strong troubleshooting and communication skills — you enjoy helping others and resolving issues ● Experience with infrastructure-as-code (Terraform, CloudFormation) ● Familiarity with observability tools such as datadog ● Exposure to data governance tools and concepts (e.g., data catalogs, lineage, access control) ● Understanding of ELT best practices and schema evolution in distributed data systems

📌 Data Operations Engineer(DBT, Snowflake, Terraform, Apache, Python, AWS, SQL) Fulltime (Chennai)
🏢 Mastek
📍 Chennai