Role: Data Operations Engineer

What Youll 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 current 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
Robust 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 Ops Engineer Remote Python,snowflake,etl, Dbt, Awsterraform Bengaluru
🏢 Mastek
📍 Bengaluru