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Senior Data Engineer

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 
Australia

Offer summary

Qualifications:

Strong expertise in cloud platforms, specifically Azure., Proficiency in Python, SQL, and Apache Spark., Experience with scalable data architectures., Solid understanding of CI/CD practices..

Key responsabilities:

  • Design, develop, and optimize ETL/ELT pipelines.
  • Build and maintain scalable data architectures.
EPAM Systems logo
EPAM Systems XLarge http://www.epam.com
10001 Employees
About EPAM Systems
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.
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Job description

We are looking for an experienced Senior Data Engineer to join our team and play a critical role in designing and optimizing scalable data solutions.

The ideal candidate has extensive experience with cloud platforms, data processing frameworks, and ETL/ELT pipelines and is passionate about solving complex data challenges.

Responsibilities


  • Design, develop, and optimize ETL/ELT pipelines for seamless data integration and transformation
  • Build and maintain scalable data architectures to support analytics and business intelligence
  • Work with large-scale data processing frameworks to ensure efficient and secure data handling
  • Manage and process structured and unstructured data using various file formats
  • Develop robust pipelines and workflows for high-performance data solutions
  • Implement and maintain CI/CD pipelines to support efficient development and deployment
  • Collaborate with stakeholders to align technical solutions with business goals and requirements
  • Create datasets, reports, and dashboards to deliver actionable insights


Requirements


  • Strong expertise in cloud platforms, specifically Azure (e.g., Synapse, Data Factory, Databricks, Data Lake)
  • Proficiency in Python, SQL, and Apache Spark for data processing and pipeline development
  • Experience with scalable data architectures, including file formats such as Parquet, Delta, and JSON
  • Solid understanding of modern data processing frameworks and distributed systems
  • Practical experience with CI/CD practices and version control tools like Git
  • Excellent problem-solving skills and the ability to communicate technical concepts effectively


Nice to have


  • Knowledge of Azure Fabric components, including Lakehouse, Workspace, and SQL Endpoint
  • Experience in the development and management of Power BI datasets and reports
  • Familiarity with DAX for sophisticated data analysis


We offer


  • By choosing EPAM, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023.
  • Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
  • You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
  • We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
  • At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.


How We Hire


  • Here, we summarize the typical journey to finding a job within EPAM.
  • Apply and tell us about yourself!
  • Go through some standard interviews:
  • - General interview with a recruiter
  • - Technical interview with our technology experts
  • - Manager interview or Offer interview with a hiring manager
  • Get ready to join the team!
  • Not sure if you meet all the requirements? No problem. Let's talk anyway and find out more!
  • It takes 1 min of application to start the journey with us. Apply now!


Life at EPAM


  • We are a leading global provider of digital platform engineering and development services that has rapidly grown in Australia since 2013.
  • We adopt a global growth strategy, thinking and acting like start-ups, working in multi-disciplinary teams, and delivering results. With a multinational talented team, we have been delivering innovative solutions for cloud migration, cyber security, digital transformation, etc.  
  • You will work in an open and friendly work environment where your professional skills and experience can stand out.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

SQL (Programming Language)Python (Programming Language)Microsoft AzureApache SparkData ArchitectureGit (Version Control System)Data ProcessingCI/CDETL (Extract Transform Load)Power BIAzure Service Fabric

Other Skills

  • Communication
  • Problem Solving
Are you interested?

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