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Intime Infotech Inc Logo
Lead DataOps Engineer

Intime Infotech Inc

 

Short Hills, Millburn, NJ, USA

Posted On: 2 days ago
Experience: 8+ years
Availability: Onsite
Openings: 1
Category: DataOps Engineer
Tenure: Contract - Corp-to-Corp
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Description

 

Responsibilities

  • Lead engineers in delivering data engineering, analytics, and DataOps initiatives.
  • Design and implement DataOps frameworks, standards, and best practices.
  • Partner with architecture, analytics, AI/ML, and platform teams to operationalize data products from development through production.
  • Establish reliability expectations, data contracts, and change management practices for data products.
  • Implement automation, pipeline orchestration, CI/CD, monitoring, and observability.
  • Ensure solutions meet delivery timelines and technical and architectural standards.
  • Translate business requirements into technical solutions and coordinate design patterns with architecture teams.
  • Resolve technical issues, manage delivery risks, and escalate concerns as needed.
  • Contribute to project prioritization, planning, and estimation.
  • Conduct design, code, and test plan reviews.
  • Coach and mentor engineers while improving team processes and delivery quality.

Required Qualifications

  • 8+ years of experience in data engineering, analytics engineering, or platform engineering.
  • Demonstrated experience leading engineers and taking ownership of complex deliverables.
  • Strong communication and stakeholder collaboration skills.
  • Strong experience with Azure, AWS, or GCP.
  • Experience with Databricks or modern lakehouse architecture.
  • Strong PySpark, SQL, data modeling, and modern data architecture skills.
  • Experience building and orchestrating data pipelines using tools such as Azure Data Factory, Airflow, Dagster, or dbt.
  • Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or GitLab.
  • Experience implementing DataOps or other automation frameworks.

Preferred Qualifications

  • Azure ecosystem experience.
  • Experience supporting AI or machine learning workloads in production.
  • Familiarity with Event Hubs, Kafka, or Kinesis.
  • Property and casualty insurance experience.
  • SAFe or similar Agile delivery experience.
  • Degree in Computer Science, Management Information Systems, or a related field

Education

Bachelor's degree

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