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LEAD BIG DATA ENGINEER (AWS) 

LocationSofia

LEAD BIG DATA ENGINEER (AWS) 

Godel is on the constant lookout for talented Big Data Engineer to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to web development. If you are enthusiastic and ambitious developer, willing to take active participation in shaping of a product, this job is for you!    These are just some of the technologies that you might work with at Godel Data Division: 
  • Data Integration: Apache Airflow (MWAA) 
  • Data Processing: Apache Kafka (MSK), Apache Spark (EMR), Amazon Kinesis, AWS Batch 
  • Database & Data Warehouse:  Amazon DynamoDB, Amazon Redshift, Amazon Athena  
  • Storage: Amazon S3, Amazon Glue 
  Responsibilities: 
  • Technical requirements elicitation 
  • Providing technical leadership for the customer 
  • Consult and collaborate with team members 
  • Design and development of data platform (data lake) based on cloud services from AWS 
  • Developing batch & stream data processing solutions, ETL processes, automated workflows 
  • Testing data pipelines and data quality using modern approaches 
  • Implementing industry’s best practices for collecting, transforming and accessing data 
  • Code review 
  • Communication with the customer and working directly with the Customer team 
  • Working within an agile team 
  If you are interested, you can also participate in the following activities: 
  • Talent Management 
  • Talent Acquisition 
  • Education 
  • Innovations 
  • Onboarding 
  • Consultancy 
   Ideally you have: 
  • Strong knowledge of AWS Cloud platform and desire to work with the following services: Amazon S3, EC2, ECR, AWS Batch, Amazon DynamoDB, Amazon Athena, Amazon Redshift 
  • Deep experience of working with data pipelines: ETL/ELT, Data Quality and Data Management. Preferable technologies like: Apache Airflow, Apache Kafka, Apache Spark 
  • Good knowledge in at least one of the programming languages Python, Java 
  • Excellent communication and negotiation skills 
  Nice to have: 
  • Exposure to operation of business-critical data products 
  • CI/CD: Git, Terraform, Jenkins, Test driven approach (TDD/BDD) 
  • Metrics and Notifications: Prometheus, Grafana 
  • Enthusiasm for agile and lean development 

WHAT WE OFFER

  • AGILE DELIVERY
  • CHALLENGING PROJECTS
  • PROFESSIONAL TEAM
  • TRUST-FOCUSED CULTURE
  • BUSINESS TRIPS TO THE UK
  • CORPORATE ACTIVITIES
  • FREE ENGLISH CLASSES
  • INVESTMENT INTO YOUR TRAINING
  • FLEXIBLE WORKING SCHEDULE
  • FINANCIAL STABILITY

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