Job Description

Job Title: Python Databricks Developer

Location: Bentonville, AR - (On-Site)

Exp: 8-10

Client: UST Global/Walmart

Job Summary

We are looking for a skilled Python Databricks Developer with strong hands-on experience in Python, Databricks, data processing, and data analytics. The ideal candidate will have experience building and working with Databricks pipelines and notebooks , along with hands-on exposure to data synthesis/generation for testing purposes .

The candidate should be comfortable working independently in a fast-paced environment and should have strong problem-solving and analytical skills.

Key Responsibilities

• Develop and maintain Python-based data processing and analytics solutions .
• Build, enhance, and troubleshoot Databricks notebooks and data pipelines .
• Perform data processing, transformation, validation, and analysis using Python and Databricks.
• Develop synthetic/generated datasets for application and data testing purposes.
• Work with large datasets and ensure data quality, accuracy, and consistency.
• Analyze data requirements and translate them into scalable data-processing solutions.
• Collaborate with development, QA, data engineering, and business teams to understand data needs.
• Debug and optimize Python scripts, Databricks jobs, and data pipelines.
• Support testing activities by creating and managing test data.
• Document technical solutions, data processes, and pipeline workflows.
• Work independently while managing multiple priorities in a fast-paced environment.

Required Skills

• Strong hands-on experience with Python .
• Mandatory experience with Databricks .
• Hands-on experience with Databricks notebooks and pipelines .
• Experience with data synthesis / synthetic data generation for testing.
• Strong understanding of data analytics and data processing .
• Experience working with data transformation and manipulation.
• Strong analytical and problem-solving skills.
• Ability to work independently with minimal supervision.

Preferred Skills

• Experience with PySpark .
• Knowledge of SQL and relational databases.
• Experience with Databricks workflows/jobs.
• Familiarity with data engineering concepts and ETL/ELT processes.
• Experience working with large-scale datasets.
• Knowledge of cloud data platforms such as AWS, Azure, or GCP is a plus.
• Experience working in Agile/Scrum environments.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of overall IT/software development experience preferred.
• Strong communication skills and the ability to collaborate across technical teams.

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