AWS Data Engineer
technologies-expected :
- AWS
- Glue
- Redshift
- Lambda
- Athena
- S3
- Snowflake
- Docker
- Terraform
- CloudFormation
- Kafka
- Airflow
- Spark
- Python
- Scala
- Java
- bash
about-project :
- You will be a part of our Insights & Data practice, and member of a team that delivers cutting-edge data centric solutions. Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP. We are responsible for full SDLC of the solution: apart from using data processing tools (eg, ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision.
responsibilities :
- design and implementation of solutions processing large and unstructured datasets (Data Mesh, Data Lake or Streaming Architecture),
- implementation, optimization and testing of modern DWH/Big Data solutions based on AWS Cloud Platform and Continuous Delivery / Continuous Integration environment,
- data processing efficiency improvement, migrations from on-prem to public cloud platforms.
- working with technologies such as Python, PySpark, Snowflake, SQL, Terraform
requirements-expected :
- At least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle),
- practical knowledge of the AWS cloud in Storage, Compute (+Serverless), Networtking and DevOps areas supported by commercial project work experience,
- theoretical AWS cloud knowledge supported with certificates (for example DVA-C01, SAA-C02, SAP-C01, VDS-C01, DAS-C01),
- familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark,
- at least basic knowledge of one of these programming languages: Python/Scala/Java/bash,
- very good command of English (German language would be an advantage).
benefits :
- sharing the costs of sports activities
- private medical care
- life insurance
- no dress code
- parking space for employees
- extra social benefits
- redeployment package
- employee referral program
- charity initiatives
- family picnics
- unlimited access to Udemy Business
- access to courses e. g. Excel, VBA, RPA, Customer Care
- free chat/call with a therapist
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