W2 - SENIOR DATA BRICKS DEVELOPER

Columbus, OH, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • PySpark
  • Amazon Web Services
  • SQL
  • Scala
  • Databricks

Summary

INTERIVEW: TELEPHONIC & WEBCAM

THIS IS ONSITE COLUMBUS,OH -CITIZENEAD/ EAD

Contract Type: W2

OVERALL EXPEREINCE

We are seeking an experienced Databricks Developer to design, develop, and optimize large-scale data processing solutions for a financial services project. The ideal candidate will have strong expertise in Databricks, Apache Spark, cloud-based data platforms, and financial data processing. This role involves building scalable data pipelines, supporting analytics initiatives, ensuring data quality, and enabling regulatory and business reporting across financial systems.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark.
  • Develop and optimize data ingestion frameworks for structured, semi-structured, and streaming data.
  • Build and maintain data lakes and lakehouse architectures using Databricks.
  • Implement Delta Lake solutions for data reliability, governance, and performance optimization.
  • Collaborate with business analysts, data architects, and finance stakeholders to understand data requirements.
  • Integrate data from trading platforms, market data feeds, risk systems, accounting platforms, and regulatory reporting systems.
  • Develop reusable notebooks, workflows, and automation processes.
  • Monitor, troubleshoot, and optimize Spark jobs for performance and scalability.
  • Implement data quality, lineage, security, and governance controls.
  • Support regulatory reporting, risk management, compliance, and financial analytics initiatives.
  • Participate in code reviews, testing, deployment, and production support activities.

Required Technical Skills

  • Strong experience with Databricks and Apache Spark (PySpark/Scala Spark).
  • Proficiency in PythonSQL, and Spark optimization techniques.
  • Experience with Delta Lake, Databricks Workflows, Unity Catalog, and Delta Live Tables.
  • Strong understanding of data warehousing concepts and dimensional modeling.
  • Experience with cloud platforms such as:
    • Amazon Web Services (AWS)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91126058
  • Position Id: 9003129
  • Posted 12 hours ago
Contact the job poster
RB

Rakesh Bandari

Recruiter @ Prohires
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