Senior Azure Databricks Data Engineer

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Position: Senior Azure Databricks Data Engineer (ETL & Orchestration)

Location: Seattle WA***Day 1 Onsite***

Duration: 1 Years

Role Description
Schedule and orchestrate tasks on Databricks within workflow pipelines.
Support incident restoration and resolution activities.
Perform regular application maintenance and health checks.
Work with load-balanced high-traffic services.
Optimize code and automate routine operational tasks.
Collaborate closely with IT teams Business Owners and potentially engage directly with customers.
Participate in Agile practices including:
Daily stand-ups
Demonstrations
Backlog grooming
Solutioning sessions
Essential Skills (Must Have)
Strong experience with Azure Databricks for ETL development and managing big data pipelines.
Proficiency in Azure Data Lake Storage (ADLS) and integration within cloud architectures.
Experience with Apache NiFi for data ingestion transformation and routing.
Solid understanding of cloud-based data engineering and storage systems.
Strong problem-solving skills to troubleshoot and optimize ETL workflows.
Good to Have
Experience with additional Azure services including:
Azure Synapse
Azure Data Factory (ADF)
Azure Functions
Understanding of streaming data and real-time data integration.
Ability to collaborate effectively with cross-functional teams including data scientists and business analysts.
Strong communication skills to present and explain technical solutions clearly.
Desirable Skills:
Skills: Digital : Microsoft AzureDigital : DatabricksDigital : PySpark
Experience Required: 10 & Above

Position: Senior Azure Databricks Data Engineer (ETL & Orchestration) Location: Seattle WA***Day 1 Onsite*** Duration: 1 Years Role Description Schedule and orchestrate tasks on Databricks within workflow pipelines. Support incident restoration and resolution activities. Perform regular application ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala