Overview

We are seeking a skilled Senior Data Software Engineer with strong expertise in PySpark, SQL, and unit testing to join our data engineering team. The ideal candidate will have hands-on experience with Apache Spark, preferably within the Databricks environment, and will be responsible for building scalable data pipelines, optimizing data workflows, and ensuring code quality through rigorous testing practices.

Responsibilities:
  • Design, develop, and maintain scalable data pipelines using Apache Spark (Databricks preferred)
  • Write efficient and optimized PySpark code for data transformation and processing
  • Develop and execute complex SQL queries for data extraction, validation, and reporting
  • Implement unit tests using pytest to ensure code reliability and maintainability
  • Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions
  • Monitor and troubleshoot data workflows and performance issues
  • Document technical designs, processes, and best practices
Required Qualifications:
  • 3+ years of experience in Data Software Engineering
  • Proven experience with Apache Spark, ideally in a Databricks environment
  • Proficiency in PySpark and SQL
  • Background in unit testing frameworks, especially pytest
  • Understanding of data engineering principles and ETL processes
  • Familiarity with version control systems (e.g., Git)
  • Ability to work independently and in a collaborative team setting
  • Excellent problem-solving and communication skills
  • Proficiency in English at an Upper-Intermediate level (B2) or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Experience with cloud platforms (e.g., Azure, AWS, GCP)
  • Knowledge of CI/CD pipelines and DevOps practices
  • Familiarity with Delta Lake, MLflow, or other Databricks-native tools
Skills:
  • Data Software Engineering
Note:

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