Revecore · 6 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

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Responsibilities

Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.

Improve the quality of the engineering practice, and the quality of the domain’s output.

Design and develop scalable, maintainable, and reliable data pipelines.

Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency.

Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs.

Proactively research and understand industry trends on various components of the data platform.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SnowflakeAzure SynapsePythonSQLData EngineeringDbtAirflowAzure ML StudioMLFlowKubernetesDockerAzure CloudInfrastructure as CodeData SDLCCI/CDData WarehousingData LakesELT ProcessTerraformCloudFormationAzure DevOps PipelinesAzure Data Lake Storage Gen2PowerBIMaster's Degree

Required

Experience with Snowflake, Azure Synapse (Spark and SQL), dbt, Airflow, Azure ML Studio, MLFlow, Kubernetes, Docker, and Python.

Experience with Azure Cloud.

Hands-on experience with data engineering, data warehousing, data lakes, ELT process capabilities on Azure using Azure services such as Azure Synapse, Azure Data Lake Storage Gen2, dbt, and PowerBI.

Expertise in Python & SQL is required.

A strong understanding of the data SDLC and CI/CD best practices for a data platform.

Bachelor’s or Master’s degree in computer science or equivalent experience.

A quiet, distraction-free environment to work from in your home.

A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads is required.

The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.