Data Engineer ADF / Databricks / Snowflake

Talent Software Services, Inc.

  • Dallas, TX
  • 9 days ago
  • $75.75 Per Hour

Highlights

Data Engineering: Azure Data Factory, Databricks, Snowflake, ETL/ELT. Strong hands-on experience with Databricks for building scalable data pipelines.

Numbers & Facts

LocationDallas, TX
Salary$75.75 Per Hour

Description

Job Details

  • Job Title: Data Engineer – ADF / Databricks / Snowflake
  • Location: Dallas, TX
  • Duration: 6 months
  • GBaMS ReqID: 10926596
  • Experience Required: 10+ years
  • Essential Skills: Data Engineer – ADF, Databricks, and Snowflake
  • Keyword: Digital: Google Data Engineering

Key Skill Set

  • Strong hands-on experience with Databricks for building scalable data pipelines.
  • Strong knowledge of:
    • Delta Lake
    • Apache Spark
    • Databricks
  • Advanced proficiency in:
    • SQL
    • Python
  • Experience with SQL and Python for:
    • Data transformation
    • Data optimization
    • Data automation
  • Experience with data visualization tools, including:
    • Tableau
    • Power BI
  • Ability to deliver actionable business insights through data visualization.
  • Solid understanding of healthcare data models.
  • Experience working with:
    • Healthcare claims datasets
    • Clinical datasets
    • Healthcare data standards
    • Domain-specific compliance requirements
  • Strong SAP Supply Chain Management domain expertise.
  • Expertise in:
    • CI/CD pipelines
    • GitHub
    • Version control
    • Deployment best practices
  • Experience with workflow orchestration tools, including:
    • Databricks Workflows
    • Apache Airflow
  • Familiarity with Agile development methodologies.
  • Experience using Jira for:
    • Sprint planning
    • Task tracking
    • Backlog management
  • Exposure to ETL migration, specifically migrating DataStage jobs to Azure.
  • Practical experience leveraging AI-assisted development tools for:
    • Code generation
    • Code optimization
    • Documentation
    • Developer productivity
  • Ability to use AI tools to accelerate development and delivery.

Technical Skills

  • Data Engineering: Azure Data Factory, Databricks, Snowflake, ETL/ELT
  • Big Data: Apache Spark, Delta Lake
  • Programming: Python, SQL
  • Visualization: Tableau, Power BI
  • Cloud: Microsoft Azure
  • DevOps: CI/CD, GitHub, Version Control
  • Orchestration: Databricks Workflows, Airflow
  • ETL Migration: DataStage to Azure
  • Enterprise Systems: SAP
  • Project Management: Jira, Agile/Scrum
  • AI: AI-Assisted Development, Code Generation, Code Optimization

Domain Skills

  • Healthcare Data
  • Claims Data
  • Clinical Data
  • Healthcare Compliance
  • SAP Supply Chain Management
  • Enterprise Data Engineering

Preferred Skills

  • Advanced Databricks and Delta Lake development.
  • Azure Data Factory pipeline development.
  • Snowflake data engineering.
  • Healthcare analytics and data platforms.
  • SAP Supply Chain data integration.
  • DataStage-to-Azure migration experience.
  • AI-enabled software development and automation.

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