Data Engineer
Buenos Aires, Argentina
Endava
We combine world-class engineering with deep industry expertise and a people-centric mindset to drive meaningful change.Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
- Develop, construct, and test data pipelines.
- Work closely with technical leads, PM, and reporting team on data requirements.
- Work/Communicate with source teams on sourcing the data.
- Identify ways to improve data reliability, efficiency, and quality.
Qualifications
- +4 years of experience as a Data Engineer.
- Knowledge of Python.
- Proficient in Database SQL.
- Azure Data Factory.
- Power BI.
- Knowledge of any ETL Tools experience.
- Experience working with GIT, and Jenkins Pipeline.
- Knowledge of Databricks.
- Nice to have: Snowflake
Additional Information
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Databricks Data pipelines Engineering ETL Git Jenkins Machine Learning Pipelines Power BI Predictive modeling Python Snowflake SQL
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