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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Azure Data Engineer

Location:

On-Site

Employment Type:

Full-Time Work

About The Role

We are seeking a motivated Mid-level Data Engineer with hands-on experience in Databricks to join our team. The ideal candidate will have a strong foundation in data engineering principles and a passion for building scalable data solutions. This role involves working with modern data platforms to design, develop, and optimize data pipelines that support analytics and business intelligence.

Key Responsibilities

  • Design, develop, and maintain ETL pipelines using Databricks.
  • Perform environment setup, establish data connections, and conduct testing within Databricks.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
  • Optimize data workflows for performance and cost efficiency.
  • Ensure data quality, integrity, and security across all processes.
  • Troubleshoot and resolve issues in data pipelines and workflows.
  • Working knowledge in modernization project development.

Required Qualifications

  • 3 years as a Data Engineer with 1–2 years of experience in specifically in Databricks.
  • Proficiency in Databricks (mandatory).
  • Strong understanding of SQL and relational databases.
  • Familiarity with data modeling and ETL concepts.
  • Fluent in English (written and spoken).
  • Must be available to work until 11:00 AM EST daily.
  • Can start work in early November

Preferred Skills

  • Experience with PySpark (a strong plus).
  • Knowledge of cloud platforms (Azure).
  • Familiarity with Delta Lake and data Lakehouse architecture.
  • Basic understanding of CI/CD and version control (Git).
Skills: databricks,sql,etl,pyspark,azure,delta lake,data lakehouse,ci/cd,git

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