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Data Engineer

Databricks
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
dice.com

Tech stack

Microsoft Azure Business Intelligence Development Unix Cloud Computing Databases Data as a Services Data Integration Extract Transform Load (ETL) Data Systems IBM DB2 Healthcare Effectiveness Data and Information Set Python (Programming Language)
+12 more
Oracle (Applications) Power BI Cloudera SQL Databases Teradata SQL Workflow Management Systems Google Cloud Apache Spark Pyspark Tools for Reporting Data Pipelines Databricks

Requirements

3 years of experience with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), Google Cloud Platform Tools, Databricks, PySpark).

3 Years of experience building ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus

3 years of experience in a reporting tool like Power BI & Tableau. (Power BI preferred)

3 years of experience working with On Prem databases like Oracle, Teradata and DB2

3 years of experience with Cloud platforms (Google Cloud Platform and Azure) and their respective data services

3 years of deep SQL experience & Unix experience

3 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare. Hedis experience is a big plus.

Educational Qualifications: -

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

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