Data Architect - Coca Cola

Data Architect – Coca Cola

Data Architect

Coca Cola, Data Architect arıyor.

Main Responsibilities

  • To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them;
  • To be able to clearly articulate pros and cons of various technologies and platforms;
  • To be able to document use cases, solutions and recommendations;
  • To have excellent written and verbal communication skills;
  • To be able to explain the work in plain language;
  • To be able to help program and project managers in the design, planning and governance of implementing projects of any kind;
  • To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution;
  • To be able to work creatively and analytically in a problem-solving environment;
  • To be a self-starter;
  • To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines;
  • To be able to work in a fast-paced agile development environment.
  • To be able to make data model development in different domains
  • To be able to design ETL structure if needed

Capabilities

  • Bachelor’s Degree/Masters in Computer Engineering/Science.
  • 10+ years of experience in developing conceptual, logical and physical data models supporting transactional, operational and analytical based solutions.
  • Experience with Stream processing (e.g. Kafka, Kinesis, Pub/Sub, Spark Streaming, Dataflow, Flink)
  • Experience with at least some of NoSQL databases like Dynamodb, Hbase, Cassandra, BigTable or Spanner is required.
  • Passionate about learning new technologies and working on massive scale data with data warehouses like Redshift, BigQuery, Athena
  • Experience with at least one of SQL databases like MySQL, SQL Server, PostgreSQL, Oracle is required.
  • Familiarity with serverless architectures.
  • Solid foundation in computer science, with competencies in data structures, algorithms and software design.
  • Proven work experience as a Data Architect or similar role
  • Experience gathering and analyzing system requirements
  • Knowledge of machine learning techniques
  • Experience in Cloud Technologies
  • Experience in data modeling with modeling tools(Erwin, PowerDesigner etc..)
  • Experience to model Enterprise DWH, ODS or OLTP system data model if needed
  • Desing and makes standarts for ETL processes
  • Willingness to learn more about new languages and frameworks.
  • Creative and innovative problem-solving skills.
  • Good team player, result oriented attitude and analytical mind.

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