Data Engineer

Busit


Lugar de Trabajo:
Capital Federal
Jornada Laboral:
Full-Time
Área:
Sistemas
Apto Discapacitados:
Si

We are building independent and strictly technical teams, where the professional growth it's not about
dealing with spreadsheets, but developing and designing the next application ?s generation using
cutting-edge technologies.
We don't want to keep you away from the code, we would like you to be part of a new community of
senior developers working on agile and high impact projects, for our frontline customers in the US and
UK; so you can grow while you continue working in what you like the most.

What you will get the chance to do
Build data ingest, propagation and transformation code in DBT, but thinking about reusability and data
modeling;
Validate (and sometimes propose) data models to support analysis;
Diligence with git branching with regular commits and pushes;
Diligence in keeping documents and JIRA tasks updated with comments and caveats;
Write JIRAs for opportunities for improvement (or where you took a shortcut and need to clean up the
TODO in a future sprint);
Write legible code, using descriptive variable names and comments so that any of your peers can pick up
your code without significant knowledge transfer;
Write data quality tests, develop code that will pass those tests, and test the code yourself;
Perform code reviews and be comfortable with your code being reviewed by others;
Adhere to the design standards that exist, and apply new design standards as they are produced;
Perpetually look for areas of improvement with a focus on data quality, integrity and governance;
Perform root cause analyses on bugs and on long-running queries and stages in the data pipelines;
Perform data mapping activities to describe source data, target data and the high-level or detailed
transformations that need to occur;

What will help you succeed:
Collaborative with a can-do attitude;
Solid understanding of Azure Data Factory;
Experience automating ADF Pipelines, and QA and testing of these automations.
Experience scaling existing pipelines across clients.

ETL;
DataBricks.
Solid understanding of Snowflake and all of its unique features;
Solid understanding of DBT;
Solid understanding of data quality testing;
Solid understanding of analytics platform patterns;
Experience with various data modelling patterns (eg. ODS, Kimball, Inmon, 3NF, OLTP vs. OLAP, SCDs);
Advanced SQL skills;
Able to work independently within the scope of the role, with a good understanding of when to escalate;
Ready and willing to share what you’ve produced;
Takes pride the work done, willing to accept technical criticism of work done, and willing to explain /
defend the choices in the work done (eg. by describing the scenario considered);
Eager to learn new technologies and new patterns;
Problem-solving aptitude;

Education:
BSc/BA in Computer Science, Engineering or relevant field would be an asset;
Experience:
2 years of experience in the Snowflake cloud platform;
2 years of experience with agile sprints;
Experience with Looker and would be an asset;
Experience with Machine Learning

Benefits:
? Automatic salary adjustment.
? English classes with native teachers
? Home Office
? Within your team you will be able to choose the benefits you consider and they will be evaluated if they
are implemented.
? Family group health insurance: Osde or Swiss Medical.



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