AWS Data Engineer

AWS Data Engineer Miejsce pracy: Wrocław Technologies we use Expected AWS Glue Redshift Lambda Athena S3 Snowflake Docker Terraform CloudFormation Kafka Airflow Spark Python Scala Java bash About the 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. Your 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 Our requirements 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 Recruitment stages Interview with the recruiter Competency Tests/Language Verification Video call with a manager Final Decision Capgemini Polska Being one of us means constant development among other great people. It's a team who you want to spend time with, during and after work. Trainings and initiatives make your daily tasks more interesting, fun, and unique. Say #Hello to FinTech, InsureTech and HealthTech! One of Capgemini Poland’s business unit is Financial Services. We have a network of 61 000 FinTech, InsureTech and HealthTech experts in Capgemini’s global locations, so we offer our employees multiple capabilities under one roof! Join us if you like to see how digital world becomes a reality! It's time to #Get the Future You Want! Your life is in your hands, and you have the opportunity to improve it, develop yourself, and simply — join us :) Do you have any additional questions about working at Capgemini? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl. Your personal data is secure with us and its protection is our key concern and priority. We are processing this data in a responsible manner; its collection and the access to the data is restricted to protect especially individuals who have already been involved in recruitment processes or plan to do so. All information on the purposes and principles of data processing by Capgemini Polska Sp. z o.o. and your rights related to your data can be found in our Privacy Policy: https://www.capgemini.com/pl-pl/hr-data-privacy-policy/