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.

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.

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.