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Databricks Engineer :: Washington, DC (Remote)

Key Facts

Remote From: 
Full time
English

Other Skills

  • •
    Analytical Skills
  • •
    Troubleshooting (Problem Solving)
  • •
    Problem Solving
  • •
    Communication
  • •
    Collaboration

Roles & Responsibilities

  • Hands-on experience with Databricks
  • Strong programming skills in Python and PySpark
  • Strong SQL development and query optimization experience
  • Experience designing, developing, and maintaining ETL pipelines

Requirements:

  • Create and maintain ETL pipelines and/or migrate existing legacy pipelines to Databricks
  • Develop scalable data processing solutions using Python, PySpark, and SQL
  • Perform data transformation, cleansing, and validation to ensure data quality and consistency
  • Optimize data workflows and Spark jobs for performance and efficiency

Job description

Databricks Engineer - Remote, Washington, DC

Duration: 12 months

Seeking for a Databricks Engineer responsible for designing, developing, maintaining, and optimizing scalable data pipelines and ETL processes using Databricks, Python, PySpark, and SQL. This role will play a key part in modernizing data platforms and supporting enterprise data initiatives.

Day-to-day Responsibilities:

  • Create and maintain ETL pipelines and/or migrate existing legacy pipelines (e.g., synapse) to Databricks
  • Develop scalable data processing solutions using Python, PySpark, and SQL.
  • Perform data transformation, cleansing, and validation to ensure data quality and consistency.
  • Optimize data workflows and Spark jobs for performance and efficiency.
  • Collaborate with business stakeholders, data architects, and development teams to understand requirements and deliver effective solutions.
  • Monitor, troubleshoot, and resolve data pipeline issues.
Qualifications:
  • Hands-on experience with Databricks.
  • Strong programming skills in Python and PySpark.
  • Strong SQL development and query optimization experience.
  • Experience designing, developing, and maintaining ETL pipelines.
  • Experience working with large-scale data processing and analytics solutions.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities.

Required Skills:

  • Databricks
  • Python
  • PySpark
  • SQL

Education:

  • Bachelor's Degree

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