Capgemini

Data Engineer (AWS)

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SeniorHybryda·WarszawaFull-time

#429115·Dodano dwa miesiące temu·39

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Big DataCloudAWS CloudStorageNetworkingDevOps AWSGlueRedshiftAWS LambdaAthenaAWS S3Snowflake Docker TerraformCloudFormationKafka Airflow Python Scala JavaCD pipelinesSpark Databricks

Firma i stanowisko

Capgemini is a global leader partnering with companies to transform and manage their business by harnessing the power of technology. It is a responsible and diverse organization with over 360,000 team members globally in more than 50 countries. The company focuses on cloud, data, AI, connectivity, software, digital engineering, and platforms, serving clients from strategy to operations.

Wymagania

Proven experience in Big Data or Cloud projects involving large and unstructured datasets across various SDLC phases.
Hands-on experience with AWS cloud services including Storage, Compute (and Serverless), Networking, and DevOps.
Solid understanding of AWS services, ideally supported by relevant certifications.
Familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark.
Basic proficiency in at least one of the following programming languages: Python, Scala, Java, or Bash.
Very good command of English; German language skills are an advantage.

Nice to have:

Experience with orchestration tools (e.g., Airflow, Prefect).
Exposure to CI/CD pipelines and DevOps practices.
Knowledge of streaming technologies (e.g., Kafka, Spark Streaming).
Experience working with Snowflake or Databricks in production or development.
Relevant certifications in AWS, data engineering, or big data technologies.

Obowiązki

Design and implement solutions for processing large-scale and unstructured datasets (Data Mesh, Data Lake, or Streaming Architectures).
Develop, optimize, and test modern DWH/Big Data solutions based on the AWS cloud platform within CI/CD environments.
Improve data processing efficiency and support migrations from on-premises systems to public cloud platforms.
Collaborate with data architects and analysts to deliver high-quality cloud-based data solutions.
Ensure data quality, consistency, and performance across AWS services and environments.
Participate in code reviews and contribute to technical improvements.

Benefity

Yearly financial bonus
Private medical care with Medicover including dental, senior care, oncology packages
Life insurance
Access to NAIS benefit platform
Access to over 70 training tracks with certification opportunities (including GenAI, Excel, Business Analysis, Project Management)
Free access to Education First language platform, Pluralsight, TED Talks, Coursera, Udemy Business
Hybrid working model combining office and home office with ergonomic equipment
Training budget
Sport subscription
Private healthcare
International projects
Free coffee
Bike parking
Free parking
Mobile phone
In-house trainings
Modern office
No dress code

Dofinansowanie szkoleń

Premie

Opieka zdrowotna

Karta sportowa

Telefon

Parking dla rowerów

Parking dla aut

Szkolenia wewnętrzne

Capgemini

780 aktywnych ofert

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