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Senior Data Software Engineer

Role overview

Qualifications

  • At least 3 years working in Data Software Engineering with a concentration on large-scale distributed systems
  • Strong skills in Python and SQL programming
  • Significant practical background working with Apache Spark, Kafka, and Airflow
  • Hands-on familiarity with leading cloud platforms such as AWS, Azure, or GCP

Responsibilities

  • Build and architect dependable data ingestion solutions and pipelines leveraging Cloud Native and Big Data technologies
  • Oversee the entire technical stack, covering configuration management, system monitoring, troubleshooting, and performance optimization
  • Create and sustain scalable pipelines that enable effective data processing and analysis
  • Work alongside cross-functional teams and data architects to understand business needs and convert them into technical requirements

Hard skills

Other skills

  • Communication
  • Teamwork
  • Problem Solving
  • Time Management

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We're looking for a practical and skilled Senior Data Software Engineer who possesses strong expertise in Apache Spark and large-scale distributed computing systems. The individual in this position will oversee the complete data infrastructure lifecycle, handling everything from building ingestion solutions to guaranteeing data pipelines remain reliable and scalable over time. The ideal candidate will work well in team settings, partnering across different departments to convert complicated business needs into effective technical outcomes, all while upholding strict engineering and performance benchmarks. Responsibilities Build and architect dependable data ingestion solutions and pipelines leveraging Cloud Native and Big Data technologies Oversee the entire technical stack, covering configuration management, system monitoring, troubleshooting, and performance optimization Create and sustain scalable pipelines that enable effective data processing and analysis Work alongside cross-functional teams and data architects to understand business needs and convert them into technical requirements Direct and take part in code reviews and testing processes to guarantee compliance with standards, quality checkpoints, and SDLC best practices Produce and update comprehensive technical documentation across data engineering initiatives to promote clarity and shared understanding Identify and fix data-related problems promptly and effectively, ensuring solutions remain high-quality, dependable, and scalable Requirements At least 3 years working in Data Software Engineering with a concentration on large-scale distributed systems Strong skills in Python and SQL programming Significant practical background working with Apache Spark, Kafka, and Airflow Hands-on familiarity with leading cloud platforms such as AWS, Azure, or GCP Experience with Databricks or Snowflake is considered a plus Hands-on expertise optimizing the performance of Apache Spark jobs Solid grasp of SDLC principles, quality checkpoints, and Agile practices Strong communication abilities with at least a B2+ level of English proficiency Self-driven, independent, and able to manage multiple projects at once while staying efficient

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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