Data Engineer

Responsibilities

  • Collecting customer information needs, information infrastructure, data sources and the ecosystem of end users.
  • Designing, implementing and maintaining the necessary data pipelines for optimal data extraction,
    transformation and loading from a wide variety of data sources (ETL).
  • Performing different types of analyses on structured and unstructured data to answer specific business questions.
  • Supporting the evolution of the architecture of data management platforms.
  • Developing data transformation jobs, selecting the right tool for each job.
  • Transferring knowledge to users.
  • Taking training courses and certifications of technologies related to their tasks.
  • Participating and contributing content to the IT Community.

Skills and requirements

Must-haves

  • Solid knowledge in configuration and use of databases (SQL, SSAS, SSIS, Polybase)
  • Solid knowledge in database management, modeling, queries and ETL processing.
  • Clear understanding of modern data warehouse architectures and concepts of structured and unstructured data types.
  • Experience in Cloud services (Azure, AWS, IBM, Google)
  • Experience with SQL and NoSQL relational databases (SQL Server, Postgres)
  • Experience with programming languages (Python, Powershell, Bash, C #, .Net).
  • Experience with workflow management tools and data pipelines (SSIS, Pentaho, Talend, Airflow).
  • Basic knowledge and configuration of networks (DHCP, DNS, TCP / IP, VPN)
  • Very good visual, oral and written communication skills.
  • Excellent learning and adaptation skills.
  • Intermidiate level of English.

Nice-to-haves

  • University degree training in Systems, Informatics, Computer Science or a related field.
  • Basic Linux management.
  • Experience in management, versioning and code repository.
  • Experience with agile management methodologies.
  • Management of Hadoop ecosystem tools (Flume, Sqoop, Yarn, Hive, Spark).
  • Experience as a BI Data Analyst.

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