Note: The job is a remote job and is open to candidates in USA. Gemini Solutions Pvt Ltd is seeking a highly experienced Senior DataOps Engineer to enhance their modern data platform. The role involves driving operational excellence and automation, focusing on building CI/CD pipelines and ensuring data quality at scale.
Responsibilities
- Drive the reliability, automation, and operational excellence of our modern data platform
- Building robust CI/CD pipelines for data
- Ensuring data quality and observability at scale
- Enabling engineering teams to ship data changes safely and quickly using tools such as Snowflake, Dagster, Fivetran, Datafold, AWS, and Sigma
Skills
- 7+ years of experience in DataOps, Data Engineering, or a related field, with a focus on operational and automation practices
- Deep expertise in Snowflake administration, performance tuning, cost optimization, and security/access controls
- Strong hands-on experience with Dagster (or similar orchestration tools) for building, monitoring, and maintaining reliable data pipelines
- Experience managing Fivetran (or similar ELT tools) for automated data ingestion and sync monitoring
- Proven experience implementing data quality, testing, and observability frameworks using Datafold or similar tools (e.g., anomaly detection, data diffing, SLA monitoring)
- Good working knowledge of AWS/Azure cloud services for infrastructure
- Strong proficiency in SQL and Python for automation, tooling, and pipeline development
- Solid understanding of data governance, metadata management, and lineage tracking
- Experience with incident management, alerting, and on-call practices for data pipeline reliability
- Experience building and operating enterprise-grade modern data platforms with a focus on uptime, scalability, and self-service enablement
- Experience with Infrastructure-as-Code (Terraform/CloudFormation) for data platform provisioning
- Experience integrating and supporting BI platforms such as Sigma, including access management and performance troubleshooting
- Bachelor's degree or master's in computer science, Engineering, Software Engineering or a relevant field
Benefits
- Job Location: USA/Remote
- Job Type: Full Time
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