DataBricks Engineer

Hybrid in New York, NY, US • Posted 16 hours ago • Updated 16 hours ago
Contract Independent
Contract W2
No Travel Required
On-site
$55/hr
Fitment

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Job Details

Skills

  • DataBrick
  • Quick Sense
  • .Net
  • API
  • Apache Spark
  • C#
  • Python
  • PySpark
  • SQL
  • Scala
  • Terraform
  • Microsoft Azure
  • Git
  • ELT
  • Data Lake
  • DevOps
  • Databricks
  • Microservices
  • PostgreSQL
  • Extract, Transform, Load

Summary

 

Experience: 8-10 Years

Design and implement end-to-end data solutions by leveraging Azure Databricks for scalable data processing, .NET for custom integration/API layers, and Qlik Sense for enterprise-grade analytics. You will be responsible for ensuring that data flows seamlessly from raw sources into a refined Lakehouse architecture and is surfaced through high-performance dashboards.


Key Responsibilities

< data-path-to-node="8">1. Data Engineering (Databricks & Spark)
  • Pipeline Development: Build and optimize batch and streaming ETL/ELT pipelines using PySpark, Spark SQL, or Scala within Databricks.

  • Lakehouse Architecture: Implement Delta Lake to ensure ACID compliance, schema enforcement, and data versioning (Time Travel).

  • Performance Tuning: Optimize Spark jobs by managing partitions, caching, and broadcast joins to reduce DBU consumption and latency.

< data-path-to-node="10">2. Custom Integration & Backend (.NET)
  • API Development: Develop ASP.NET Core Web APIs to bridge Databricks/Data Lake data with external applications.

  • Custom Extensions: Use C# / .NET to build custom Qlik Sense extensions or automation scripts using the Qlik Engine API.

  • Data Ingestion: Create custom .NET workers or microservices to handle unique data ingestion scenarios that standard ETL tools cannot address.

< data-path-to-node="12">3. Analytics & Visualization (Qlik Sense)
  • Data Modeling: Design complex Associative Data Models in Qlik Sense, ensuring optimal use of QVDs and avoiding synthetic keys.

  • Dashboarding: Create intuitive, interactive dashboards using Set Analysis and advanced visualization techniques.

  • Integration: Embed Qlik Sense analytics into .NET applications using Qlik Sense Mashups or the Capability API.


Technical Skills Required

CategoryMust-Have Skills
Data PlatformAzure Databricks, Apache Spark, Delta Lake, Unity Catalog
ProgrammingC# (.NET 6/8), Python (PySpark), SQL
BI & VizQlik Sense (Scripting, Set Analysis, QMC, NPrinting)
DatabasesSQL Server, PostgreSQL, or Snowflake
DevOpsAzure DevOps, CI/CD pipelines, Git, Terraform (optional)

Skills: DataBrick, Quick Sense, .Net

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91163556
  • Position Id: 8948347
  • Posted 16 hours ago
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