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Senior Data Software Engineer

Role overview

Qualifications

  • Minimum of three years of pertinent professional background
  • Practical exposure to AI tools and concepts
  • Strong command of Python for constructing and maintaining data processing systems
  • Direct experience working within an Amazon Web Services cloud setup

Responsibilities

  • Build and plan scalable, maintainable data infrastructure
  • Team up with teams across various disciplines to ensure outputs are delivered on time
  • Take part in architecture discussions, offering insight
  • Examine code produced by colleagues, providing constructive commentary

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

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 to welcome a proficient Senior Data Software Engineer with solid AI knowledge into our organization. This role offers the chance to work on substantial, data-focused initiatives within a collaborative culture that values innovative thinking. You'll be part of a group that holds technical depth, continuous improvement, and practical application of modern tools in high regard. For individuals passionate about constructing resilient data systems while growing their AI expertise, this position provides a strong launching point for professional development Responsibilities Build and plan scalable, maintainable data infrastructure that supports both business and technical objectives Team up with teams across various disciplines to ensure outputs are delivered on time and meet quality standards Take part in architecture discussions, offering insight that helps determine the course of data initiatives Examine code produced by colleagues, providing constructive commentary that upholds strong engineering standards Address and resolve complex technical difficulties that emerge throughout development and data handling processes Assist junior team members in their development by sharing expertise that builds stronger technical foundations Contribute to planning discussions, helping clarify scope and supplying accurate time projections Stay informed on evolving technology trends and apply useful new strategies to daily responsibilities Document key technical decisions and data processes clearly to support the system's long-term reliability Partner closely with stakeholders to define clear goals and ensure finished work aligns with expectations Requirements A minimum of three years of pertinent professional background Practical exposure to AI tools and concepts, applied to strengthen how data solutions are designed Strong command of Python for constructing and maintaining data processing systems Experience utilizing Apache Kafka Streams for overseeing real-time data streaming workflows Hands-on knowledge of Apache Flink for analyzing and processing extensive streaming data sets Direct experience working within an Amazon Web Services cloud setup Capable of applying SQL for structuring, managing, and retrieving relational database information Background with NoSQL database technologies for managing semi-structured or unstructured content Awareness of CI/CD practices that support consistent, automated deployment of software and data pipelines Solid experience in Data Software Engineering, building reliable and scalable data-centered solutions Knowledge of SDLC Methodologies and how to apply them for organized, efficient project outcomes Experience within Agile frameworks that support collaborative, iterative development approaches Fluent English skills at a B2 proficiency level or beyond

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Marcus Rivera

Chief Revenue Officer

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