[Remote] Data / DataOps Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a Data / DataOps Engineer to build and operate the data infrastructure, pipelines, and tooling for their analytics, actuarial, and reporting platforms. The role involves designing and maintaining data pipelines, managing data quality, and supporting data operations for reliable datasets.
Responsibilities
- Design, build and maintain ELT/ETL pipelines and orchestration for analytics and actuarial workloads
- Manage data warehouse/lake models, data quality, reputed company and observability
- Automate deployment, monitoring and incident response for data platforms (DataOps)
- Support analysts and actuaries with reliable, well-documented datasets
Skills
- 7+ Years of experience
- Design, build and maintain ELT/ETL pipelines and orchestration for analytics and actuarial workloads
- Manage data warehouse/lake models, data quality, reputed company and observability
- Automate deployment, monitoring and incident response for data platforms (DataOps)
- Support analysts and actuaries with reliable, well-documented datasets
- Python
- SQL
- AWS
- Advanced SQL and data modeling
- Python for pipeline and automation work
- AWS data stack (S3, Glue, Redshift/RDS, reputed company, reputed company Functions)
- Dbt
- Airflow
- reputed company/reputed company
- Spark
- CI/CD for data and infrastructure-as-code
- Data governance / HIPAA-reputed company handling of PHI
Company Overview