Olive Jobs
MSys Inc. logo

Cloud Data Engineer - Hybrid

MSys Inc.

Sacramento, CAHybridJobNo compensation foundTracked 3 days agoSeen in employer's feed 3 days ago
Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Don't just apply. Show up ready.

Olive works from this exact posting — no sign-up to start.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.Get started →Tailor your résuméRewritten against this posting, with a diff of every change.Get started →Practice the interviewA voice mock interview built from this job description.Get started →

At a glance

Compensation
No compensation found
Location
Sacramento, CAHybrid
Work Authorization
Not specified

Job overview

The role involves developing and maintaining data engineering and warehouse solutions, building ETL pipelines, working with Snowflake, Redshift, Azure Synapse, orchestrating workflows with Airflow and dbt, writing advanced SQL, creating data models and BI solutions, using Power BI, Tableau or Looker, implementing Docker and Kubernetes, CI/CD, monitoring, Terraform, Ansible, and supporting AI/ML systems.

Skills & qualifications

RequiredNice to have

Skills

IT ReportingData AnalysisDatabase QueryingData EngineeringData WarehousingBI AnalyticsETL/ELTSnowflakeRedshiftAzure SynapseAirflowDbtAdvanced SQLData ModelingPower BITableauLookerDockerKubernetesCI/CDMonitoringLoggingTerraformAnsibleGenAIAI/MLSemantic-Model Solutions

Qualifications

7+ Years Data Engineering / Data Warehousing / BI Analytics5+ Years ETL/ELT / Snowflake / Redshift / Azure Synapse / Airflow / Dbt2+ Years Advanced SQL / Data Modeling / Power BI, Tableau or Looker2+ Years Docker / Kubernetes / CI/CD / Monitoring / Logging / Terraform / AnsibleAWS CertificationSnowflake CertificationPower BI / Tableau CertificationAI/ML or GenAI Coursework/CredentialsBachelor's Degree in Computer Science, Computer Engineering or Related Field

Full job description

WebCam Interview Very long term; initial PO for 1 year and usually goes for 3+ years *** HybridNeed 3 References

Job Description Responsibilities

  • Develop and maintain data engineering and data warehouse solutions.

  • Build ETL/ELT pipelines.

  • Work with Snowflake, Amazon Redshift and Azure Synapse.

  • Develop data orchestration workflows using Airflow and dbt.

  • Write advanced SQL queries and optimize database performance.

  • Develop data models, semantic layers and BI solutions.

  • Work with Power BI, Tableau or Looker.

  • Implement Docker and Kubernetes-based containerization.

  • Develop CI/CD pipelines for ML and data workflows.

  • Implement monitoring and logging for AI/ML and BI systems.

  • Automate cloud infrastructure using Terraform and Ansible.

  • Support GenAI, AI/ML and semantic-model solutions.

Key Skills

  • IT / Reporting / Data Analysis / Database Querying

  • 7+ years Data Engineering / Data Warehousing / BI Analytics

  • Experience Requirements

  • 5+ years ETL/ELT / Snowflake / Redshift / Azure Synapse / Airflow / dbt

  • 2+ years Advanced SQL / Data Modeling / Power BI, Tableau or Looker

  • 2+ years Docker / Kubernetes / CI/CD / Monitoring / Logging / Terraform / Ansible

Preferred Certifications / Education

  • AWS Certification

  • Snowflake Certification

  • Power BI / Tableau Certification

  • AI/ML or GenAI coursework/credentials

  • Bachelor's degree in Computer Science, Computer Engineering or related field.

You've read the whole posting — now see how you match it.

Evaluate my fit