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Mid-Level Databricks Engineer (Alteryx)

Posted 1 day ago by Connect Tech+Talent

Job Description

We are looking for a skilled Mid-Level Databricks Engineer with hands-on experience in Alteryx and Databricks to join our data engineering team. The ideal candidate will have strong experience in data transformation, ETL/ELT development, data pipeline creation, and cloud-based data processing.

The candidate should be comfortable working with large datasets, building scalable data solutions, and optimizing data workflows using Alteryx and Databricks.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build and optimize ETL/ELT workflows using Alteryx.
  • Develop data transformation solutions using Python, PySpark, and SQL.
  • Work with Databricks notebooks, Delta Lake, and data processing frameworks.
  • Integrate data from multiple sources into centralized data platforms.
  • Perform data cleansing, validation, transformation, and quality checks.
  • Optimize data pipelines for performance, scalability, and reliability.
  • Collaborate with data engineers, analysts, and business stakeholders.
  • Troubleshoot data pipeline issues and ensure smooth data operations.
  • Follow best practices for data governance, security, and documentation.

Required Skills & Qualifications

  • Strong hands-on experience with Databricks.
  • Practical experience with Alteryx Designer and workflow development.
  • Proficiency in Python, PySpark, and SQL.
  • Experience developing and maintaining ETL/ELT pipelines.
  • Knowledge of Delta Lake and Databricks architecture.
  • Experience working with cloud data platforms such as Azure, AWS, or Google Cloud Platform.
  • Strong understanding of data warehousing and data modeling concepts.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently in a remote environment.

Preferred Qualifications

  • Experience with Azure Databricks.
  • Knowledge of Azure Data Factory or similar orchestration tools.
  • Familiarity with CI/CD and version control tools such as Git.
  • Experience with data lakehouse architecture.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level

Take-Home Pay

Not Available

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