Hybrid Data Engineer – Manager

Posted 2 weeks ago

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About the role

  • Develop & deploy Azure Databricks in a cloud environment using Azure Cloud services.
  • ETL design, development, and deployment to Cloud Service.
  • Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams.
  • Design and optimize model codes for faster execution.
  • Lead and mentor a team of data engineers and analysts, ensuring high-quality delivery and fostering professional growth.
  • Collaborate with cross-functional teams to manage project timelines and deliverables.

Requirements

  • 9 to 14 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmos DB, etc.
  • Familiar with cloud services like Azure.
  • Hands-on experience on Spark/PySpark.
  • Hands-on experience in programming languages such as Python/Scala.
  • Knowledge in DevOps and CI/CD deployments.
  • Must have hands-on experience in SQL and procedural SQL languages.
  • Strong analytical skills and enjoys solving complex technical problems.
  • Proven ability to lead teams, manage resources, and drive projects to successful completion.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

Job title

Data Engineer – Manager

Job type

Experience level

SeniorLead

Salary

$80,000 - $120,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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