Scientific Data Engineer

Solvd; Brasil; Presencial; BRL 180.000 - 250.000; Tempo integral

Resumo da oferta

A leading AI-first advisory and digital engineering firm is looking for a Scientific Data Engineer to join their team in Brazil. This role involves developing data solutions, designing data models, and building Python pipelines to facilitate scientific data accessibility. The ideal candidate will possess substantial experience in Python and ETL processes, along with strong project management skills and a passion for science.

Qualificações

• Minimum of 7+ years as a Senior Engineer.
• Proficient in Python, specifically with Pandas and Numpy.
• Strong understanding of ETL processes and message oriented systems.

Responsabilidades

• Own, prototype, and implement customer solutions.
• Design and build Python data pipelines, unit tests, and integration tests.
• Coordinate project kickoff and manage customer relationships successfully.

Conhecimentos

Python

ETL

Relational Databases

Problem-solving

Communication Skills

Attention to Detail

Ferramentas

Databricks

SQL

Spotfire

Tableau

Descrição da oferta de emprego

Solvd is an AI-first advisory and digital engineering firm delivering measurable business impact through strategic digital transformation. Taking an AI-first approach, we bridge the critical gap between experimentation and real ROI, weaving artificial intelligence into everything we do and helping clients at all stages accelerate AI integration into each process layer. Our mission is to empower passionate people to thrive in the era of AI while maintaining rigorous ethical AI standards. We’re supported by a global team with offices in the USA, Poland, Ukraine and Georgia.

We are seeking aScientific Data Engineer to join our team.

Responsibilities:

• Own, prototype, and implement customer solutions.
• Research and prototype data acquisition strategy for scientific lab instrumentation.
• Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).
• Design and build data models.
• Design and build Python data pipelines, unit tests, integration tests, and utility functions.
• Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc.
• Work with the customer to test and make sure the solution fulfills their requirements and solves their need.
• Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings.
• Facilitate internal project post-mortems to identify areas of improvement on the next implementation.

Requirements:

• 7+ Sr. Engineer.
• Python (Pandas/Numpy).
• ETL.
• Relational Databases / SQL.
• Message Oriented Systems.
• Databricks (ETL Tools).
• Passionate about science and building solutions to make the data more accessible to end-users.
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
• Quickly understand a highly technical product and effectively communicate with product management and engineering.
• Proactive problem-solving skills.
• High-bandwidth: thrives when managing multiple simultaneous projects.
• Intellectually curious unwavering drive to learn more every day.
• Ability to think creatively about how to solve projects risks without reducing quality.
• Team player and ability to 'roll up your sleeves' and do what it takes to make the team succcesful.