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Senior Data Analytics Engineer in Clouds Kazakhstan or Remote

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Senior Data Analytics Engineer in Clouds Description

Job #: 74098
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION


You are curious, persistent, logical, and with a growth mindset – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. You love building data systems and applications to support decision-making. If this sounds like you, this could be the perfect opportunity to join EPAM as a Senior Data Analytics Engineer in Clouds or any level above.
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What You’ll Do

  • Contribute to the success of our customer projects
  • Build and maintain data pipelines and data platform solutions in public clouds like AWS, Azure or GCP
  • Develop data pipelines and migration of data from on-premises to public clouds and build components for central enterprise data platforms
  • Design and implement new business requirements

What You Have

  • 2+ years of direct experience working in Enterprise Data Platforms technologies
  • Experience with public cloud (AWS, Azure or GCP) as well as with on-prem data technologies
  • Understanding of relational database management systems, online analytical processing (OLAP) and data warehouses
  • Experience in data acquisition (API calls/FTP downloads), ETL, transformation/normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution & access (Entitlements for users, build of API and access points for data)
  • Proficient in ETL/ELT process
  • Experience building components for central data platforms for enterprise use (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)
  • Hands-on experience with SQL, Python, Spark, Kafka or other similar tools and technologies
  • Clear, concise communication skills and good command of written and spoken English

We offer

  • Innovative solutions delivery to the world’s digital changes
  • Experience exchange with colleagues all around the world
  • Opportunities for self-realization
  • Unlimited access to LinkedIn learning solutions
  • Friendly team and enjoyable working environment
  • Corporate and social events
  • Social package: professional & soft skills trainings, medical & family care programs, sports
  • Free English classes
  • Competitive compensation
  • Regular assessments and salary reviews

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