Data Operations Engineer

Hyland; São Paulo; Híbrido; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading data solutions company in São Paulo is seeking a Data Operation Engineer 2 focused on building and maintaining data pipelines to support analytics and machine learning workflows. The ideal candidate must have a Bachelor's Degree in Computer Science or a related field, experience with dbt, Azure Data Factory, and strong skills in Python and SQL. Excellent communication abilities and collaborative skills are essential for success in this role, which also requires attention to detail and effective project management.

Qualificações

• Experience with data pipelines and orchestration tools.
• Proficiency in Microsoft Office, especially Excel.
• Strong communication and interpersonal skills.

Responsabilidades

• Build and maintain data pipelines for analysis.
• Ensure data quality and usability for analytics.
• Contribute to team knowledge base and document work.

Conhecimentos

Python

SQL

GitHub

Data analysis

Collaborative skills

Formação académica

Bachelor's Degree in Computer Science or related field

Ferramentas

dbt

Azure Data Factory

Fivetran

AWS

Azure

Snowflake

Descrição da oferta de emprego

Overview

Job Description:

The Data Operation Engineer 2 is focused on supporting the development and maintenance of data pipelines. This role assists in delivering clean reliable data and contributes to testing documentation and monitoring efforts. This role works under guidance to support analytics and machine learning workflows while growing technical expertise.

Responsibilities

• Build and maintain data pipelines that prepare clean structured data for analysis.
• Deliver components of analytical and operational data products contributing to solutions from ingestion through production deployment.
• Apply established practices for data observability, quality checks, metadata tracking and lineage documentation within workflows.
• Work with other teams to ensure proper data access, quality and usability for reporting and analytics.
• Develop data workflows that enable downstream ML/AI capabilities, ensuring datasets are well‑prepared and versioned.
• Observe and provide input on new tools and techniques evaluated by senior team members.
• Implement solutions aligned with internal data security standards, compliance policies and governance frameworks.
• Engage in team conversations about data engineering trends, tools and process improvements.
• Contribute to the team knowledge base through documenting work learnings and lessons from projects.
• Actively seek feedback from senior engineers and contribute to team success through collaboration and support.

Minimum Qualifications

• Bachelor's Degree or equivalent experience in Computer Science, Data Engineering or a related field.
• Experience with dbt and cloud‑based data orchestration tools (e.g., Azure Data Factory, Fivetran).
• Proficiency with Microsoft Windows and Office.
• Good oral and written communication skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact.
• Strong organizational, multi‑tasking and time‑management skills.
• Effective collaboration skills applied successfully within a team as well as with other areas.
• Excellent Microsoft Excel skills.
• Strong facilitation and project‑management skills.
• Good interpersonal skills; able to maintain solid rapport with team members and maintain professionalism with those outside the department.
• Proficiency in data gathering, interviewing and analytical/problem‑solving skills.
• Excellent critical thinking and problem‑solving skills.
• Proficiency in Python, SQL and GitHub‑based development workflows.
• Experience with cloud platforms (e.g., Fabric, AWS, Azure, Snowflake).
• Ability to use original thinking to translate goals into implementation, new ideas and design solutions.
• Self‑motivated with the ability to manage projects to completion with oversight.
• Able to thrive in a fast‑paced, deadline‑driven environment.
• Strong attention to detail.
• Demonstrated ability to influence, motivate and mobilize team members and business partners.
• Strong ability to develop and use engaging, informative and compelling presentation methodologies.
• Good ability to handle sensitive information with discretion and tact.
• Ability to establish rapport and gain the trust of others; effective at gaining consensus.
• Ability to work independently and in a team environment.
• Good knowledge of systems administration.
• Data analysis knowledge using tools such as Excel, SQL or statistical software packages.
• Good knowledge of Microsoft operating systems and products.
• Up to 0% travel time required.