AWS Data Engineer

AWS Data Engineer (Praca zdalna)

Transition Technologies PSC

Katowice +4 więcej
B2B, PERMANENT
💼 B2B
PERMANENT
☁️ AWS
📊 data pipelines
🐍 Python
Java
Scala
SQL
📊 data modeling
📊 data warehousing
🔄 DevOps
Apache Spark

Podsumowanie

Stanowisko: AWS Data Engineer. Obowiązki: rozwój i utrzymanie pipeline'ów danych na AWS, współpraca z zespołami, wprowadzanie najlepszych praktyk. Wymagania: doświadczenie w AWS, umiejętność programowania w Pythonie, Javie lub Scala.

Słowa kluczowe

AWSdata pipelinesPythonJavaScalaSQLdata modelingdata warehousingDevOpsApache Spark

Benefity

  • Elastyczne godziny pracy
  • Możliwość pracy zdalnej
  • Wsparcie mentora i psychologa
  • Karta Multisport
  • Ubezpieczenie grupowe

Opis stanowiska

Responsibilities: Design, develop, and maintain robust and scalable data pipelines on AWS. Manage and optimize AWS services such as S3, Lambda, Glue, Redshift, and EMR. Collaborate with data scientists, analysts, and software engineers to ensure efficient data integration and delivery. Implement best practices in data architecture, security, and governance. Monitor and troubleshoot data workflows and infrastructure. Continuously improve system performance and reliability. Our Requirements: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). Proven experience as a Data Engineer with a strong focus on AWS technologies. Proficiency in programming languages such as Python, Java, or Scala. Hands-on experience with AWS services including but not limited to S3, Glue, Lambda, Redshift, and RDS. Strong knowledge of SQL and data modeling. Familiarity with data warehousing concepts and tools. Excellent problem-solving skills and a proactive attitude. Ability to work in a fast-paced, collaborative environment. Nice to have: Experience with DevOps practices and tools (e.g., CI/CD, Docker, Kubernetes). Knowledge of big data processing frameworks (e.g., Apache Spark). Certifications in AWS (e.g., AWS Certified Solutions Architect, AWS Certified Big Data – Specialty). Familiarity with AI/GenAI solutions on AWS (e.g., Bedrock, SageMaker), as well as hands-on exposure to LangSmith, RAG architectures, and related technologies. What can we offer: Flexible working hours Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company Possibility of remote work Work on innovative projects using modern technologies Direct impact on shaping the image of the Capital Group’s companies on the market Possibility to develop competences in a wide range Attractive salary Stability of employment and a friendly work atmosphere Cool benefits, among others Legimi platform, Multisport card, Company Social Fund, Mentor and Psychologist support, Group Insurance, technical trainings and conferences, languages courses, integration meetings, internal company competitions and much more…

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Wyświetlenia: 9
Opublikowana3 miesiące temu
Wygasaza 12 dni
Rodzaj umowyB2B, PERMANENT
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