Data-Data Engineer

Posted 5 Days Ago
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Buenos Aires, Ciudad Autónoma de Buenos Aires
Mid level
Software • Consulting
The Role
The Data Engineer will develop, construct, and test data pipelines, collaborate with teams on data requirements, source data effectively, and enhance data reliability and quality through advanced analytics.
Summary Generated by Built In

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 (Snowflake) SQL.
  • Knowledge of any ETL Tools experience.
  • Experience working with GIT, and Jenkins Pipeline.
  • Knowledge of Databricks.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

  • Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
  • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
  • Health: Global internal wellbeing programme, access to wellbeing apps;
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Top Skills

Python
The Company
HQ: London
0 Employees
Hybrid Workplace
Year Founded: 2000

What We Do

Endava is reimagining the relationship between people and technology.

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