Azure Databricks Developer (Python, PySpark, SQL)-6 at Realign LLC
Pennsylvania, Pennsylvania, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Pipeline Design, Sql, Performance Tuning, Python, Data Processing

Industry

Information Technology/IT

Description

JOB DESCRIPTION

Job Title: Azure Databricks Developer (Python, PySpark, SQL)
Duration: Long-Term Contract

JOB DESCRIPTION:

We are seeking an experienced Azure Databricks Developer with strong expertise in Python, PySpark, and SQL to join our team in Pittsburgh, PA. The ideal candidate will have hands-on experience building and optimizing data pipelines, working with large-scale datasets, and deploying solutions in Azure cloud environments. This role requires onsite presence 5 days a week in Pittsburgh, PA.

REQUIRED SKILLS:

  • Overall IT Experience: 8-10+ Years
  • 5+ years of hands-on experience with Azure Databricks.
  • Strong expertise in Python, PySpark, and SQL.
  • Solid experience with ETL pipeline design and data processing in cloud environments.
  • Good understanding of Azure Data Lake, Azure Data Factory, and related Azure services.
  • Experience working with large, complex datasets and performance tuning.
  • Strong problem-solving and debugging skills.

REQUIRED SKILLS

Cloud Developer SQL Application Develope

Responsibilities
  • Design, develop, and optimize data pipelines and ETL workflows using Azure Databricks, PySpark, and SQL.
  • Work with stakeholders to understand business requirements and translate them into scalable data solutions.
  • Implement data processing, transformation, and cleansing for large-scale structured and unstructured data.
  • Collaborate with data engineers, analysts, and architects to build reliable and high-performing data platforms.
  • Ensure data quality, security, and compliance across all solutions.
  • Monitor, debug, and optimize performance of Databricks clusters and jobs.
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