Sr. Data Ops Engineer
Core
Ensuring the health, stability, and performance of production data platforms, including ingestion pipelines, processing jobs, and data warehousing for downstream analytics.
Role type
Senior Data Operations Engineer
Builds
Reliable integrations, APIs, and data platforms for trustworthy data & analytics
Domain
IoT / Connected Operations / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL tools (Fivetran, DBT, Workato), RDBMS (MySQL, PostgreSQL, Oracle), Cloud platforms (AWS, GCP, Azure), Data warehouses (Databricks, BigQuery, Redshift, Snowflake), CI/CD, DevOps practices
Preferred skills
Incident response, Monitoring & Alerting (Splunk, DataDog, CloudWatch), AWS Serverless (API Gateway, Lambda, S3, SNS, SQS, SecretsManager), Distributed systems troubleshooting, Cross-functional stakeholder communication
Technologies
AWS, Python, SQL, Databricks, Snowflake, Splunk, DataDog, CloudWatch, API Gateway, Lambda, S3, SNS, SQS, SecretsManager
Responsibilities
Serve as primary responder for production data incidents; Design and maintain monitoring, logging, and alerting systems; Manage, deploy, and maintain data pipelines and APIs; Optimize data processing jobs and API performance; Develop data validation and quality checks; Collaborate on underlying infrastructure management; Maintain operational documentation and runbooks
Seniority
Senior, hands-on IC
