Sr. Data Engineer
Apply NowCompany: SysMind Tech
Location: Chicago, IL 60629
Description:
1
Job Title
Sr. Data Engineer
Relevant Experience
10+ Yrs
Technical/Functional Skills
Productivity - G-Suite, Lucid Chart, Jira, Confluence, Slack
GCP - Artifact Registry, Container Registry, Cloud Composer, Cloud Functions, Cloud Run, Data Proc,
Languages - Python, SQL, MQL, Docker
Kubernetes Engine, PubSub, Secret Manager, Stackdriver, BigQuery, Cloud Storage
CI/CD & IaaC - Jenkins, Terraform with Terragrunt, Bitbucket
Monitoring & Alerting - Datadog, OpsGenie
Other - MongoDB, NetSuite, Informatica PIM 360, Linux
Roles & Responsibilities
Coach and mentor squad members in scrum, software craftsmanship, and Zoro norms.
Design, develop, document, deploy, and maintain data pipelines.
Collect, analyze, and profile various batch and streaming data sources.
Lead master data management efforts within the squad.
Actively participate and lead guild and chapter meetings.
Collaborate with stakeholders to groom ideas into small, independent, and testable work items.
Collaborate with DataOps to automate code analysis, testing, building, and deploying.
Collaborate with squads and tribes to manage, groom, and prioritize technical debt.
Job Title
Sr. Data Engineer
Relevant Experience
10+ Yrs
Technical/Functional Skills
Productivity - G-Suite, Lucid Chart, Jira, Confluence, Slack
GCP - Artifact Registry, Container Registry, Cloud Composer, Cloud Functions, Cloud Run, Data Proc,
Languages - Python, SQL, MQL, Docker
Kubernetes Engine, PubSub, Secret Manager, Stackdriver, BigQuery, Cloud Storage
CI/CD & IaaC - Jenkins, Terraform with Terragrunt, Bitbucket
Monitoring & Alerting - Datadog, OpsGenie
Other - MongoDB, NetSuite, Informatica PIM 360, Linux
Roles & Responsibilities
Coach and mentor squad members in scrum, software craftsmanship, and Zoro norms.
Design, develop, document, deploy, and maintain data pipelines.
Collect, analyze, and profile various batch and streaming data sources.
Lead master data management efforts within the squad.
Actively participate and lead guild and chapter meetings.
Collaborate with stakeholders to groom ideas into small, independent, and testable work items.
Collaborate with DataOps to automate code analysis, testing, building, and deploying.
Collaborate with squads and tribes to manage, groom, and prioritize technical debt.