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Senior Data Software Engineer (Databricks)

Role overview

Qualifications

  • Hands-on experience with Databricks, including Delta Lake workflows
  • Solid understanding of data architecture and data modeling skills
  • Expertise in Spark, using either Scala or PySpark
  • Proficiency in cloud-native technologies and software engineering best practices

Responsibilities

  • Design, develop and maintain scalable data pipelines and architectures
  • Optimize data models and enhance ETL processes utilizing Databricks
  • Implement rigorous data quality checks and monitoring
  • Troubleshoot and resolve data-related issues promptly

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Teamwork

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 are seeking a Senior Data Software Engineer skilled in Databricks to join our team in Portugal. You will be integral to our efforts, bringing a deep understanding of data engineering, expertise in Databricks and an open-minded approach to our collaborative and friendly work environment. This role is ideal for a professional eager to develop scalable data solutions and drive innovation in our Data practice. Responsibilities Design, develop and maintain scalable data pipelines and architectures Optimize data models and enhance ETL processes utilizing Databricks and related technologies Implement rigorous data quality checks and monitoring to guarantee high integrity Keep abreast of the latest trends and technologies in data engineering and advocate for the adoption of beneficial new tools Troubleshoot and resolve data-related issues promptly Participate in code reviews ensuring adherence to high standards of code quality Requirements Hands-on experience with Databricks, including Delta Lake workflows, Delta Live Tables, along with deployment and versioning strategies Solid understanding of data architecture and data modeling skills Expertise in Spark, using either Scala or PySpark Proficiency in cloud-native technologies and software engineering best practices such as containers, unit tests, linting and code style checks Engineering background in AWS, Azure or GCP Experience with big data and performance optimization of data-intensive applications Proactive approach and prior client-facing experience Ability to navigate ambiguity and work independently Desire to engage in a transparent, fast-moving startup environment Fluent English communication skills at a B2+ level or higher

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Marcus Rivera

Chief Revenue Officer

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