1007629 - Sr Data Engineer

Dexian; Brasil; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

Dexian Brazil seeks a Senior Data Engineer to design, develop, and maintain data lakehouse solutions, ensuring high data quality and scalable analytics for our clients. You will build pipelines across bronze, silver, and gold zones and shape data models for enterprise reporting.

You will lead end-to-end delivery, collaborate with business and tech stakeholders, mentor teammates, and promote data governance, modular design, and performance tuning on cloud platforms such as Snowflake and Azure.

Qualificações

• Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics or related field
• Deep experience with data transformation, ETL / ELT and data management
• Deep experience with writing and optimizing complex SQL
• Experience with data modeling (Star Schema)
• Experience with cloud infrastructure and Big Data platforms
• Understanding of structured, unstructured, semi-structured data
• Experience with data streaming, messaging, and event-driven data architecture
• Knowledge of data governance and data quality frameworks
• Experience in Agile environments
• Experience with NoSQL databases (Graph, Document, Column)
• Knowledge of ML/AI concepts
• Strong communication and presentation skills
• Team collaboration and strategic goal contribution

Responsabilidades

• Lead end-to-end technical delivery of complex data and analytics solutions
• Design, build, and optimize data pipelines and analytical data models
• Assess source systems and data quality to meet governance requirements
• Collaborate with stakeholders to translate requirements into designs
• Drive data architecture best practices and cost-efficient solutions
• Mentor and coach team members to raise engineering capability
• Perform code and design reviews for maintainability and performance
• Lead root cause analysis and implement preventative measures
• Improve delivery processes for speed and quality
• Enforce data governance practices and secure data handling
• Collaborate with platform teams on Snowflake/Azure optimization
• Support DevOps/CI/CD for data engineering
• Ensure monitoring, SLAs, and operational excellence
• Contribute to platform strategy and tool selection

Conhecimentos

Team leadership

End-to-end delivery

Stakeholder collaboration

Agile experience

Data governance

Communication and presentation

Formação académica

Bachelor's Degree in Computer Science or related

Ferramentas

Snowflake

Azure

SQL

ETL/ELT tooling

Python

Descrição da oferta de emprego

DEXIAN is a global American consulting company focused on technology talent solutions to support and strengthen our clients’ IT teams. We are present in 10 countries, with 45 offices worldwide. For more than 25 years, DEXIAN® has been serving global clients across multiple industries, with the mission of attracting and retaining the world’s top talent.

Today, we are proudly recognized as one of the largest staffing augmentation companies in the United States by Staffing Industry Analysts (SIA). We are also a Minority-Owned Company, and we take pride in our strong commitment to diversity.

In Brazil, we have been operating since 2007 and have successfully partnered with more than 50 clients from different sectors of the economy.

What to Expect From Us

At DEXIAN, every movement is guided by five core values: collaboration, respect, fairness, commitment, and ingenuity. These are not just concepts - they define how we work, build partnerships, and support our teams every day

If you share these values, this is the right place for you to grow your career

DEXIAN Brazil strongly encourages diversity, and all opportunities are open to people with disabilities and rehabilitated professionals

About the Client

This position will support one of our clients, which iot's main role is testing, inspection, and certification (TIC) services. Its main role is to help organizations verify that products, systems, and services meet safety, quality, security, sustainability, and regulatory requirements.

About the position

The Senior Data Engineer plays a senior role in the design, development, and maintenance of constructing and populating a data lakehouse. This position helps develop and improve processes and techniques that ensure efficient data processing and high data quality to power analytics. The role applies technical expertise to design data architecture and data models and to build pipelines that populate the various data zones (bronze, silver, and gold) within a data lakehouse architecture.

Required Qualifications

• Lead end-to-end technical delivery of complex data and analytics solutions, ensuring scalability, reliability, and alignment to business outcomes
• Design, build, and optimize data pipelines and analytical data models (batch and near real-time) to support enterprise reporting, BI, and advanced analytics use cases
• Assess source systems and data quality, defining transformation logic, data standards, and controls to meet business definitions and governance requirements
• Partner with business and technical stakeholders to translate requirements into technical designs, and contribute to estimation, planning, and delivery sequencing
• Drive data architecture and engineering best practices, including modular design, reusability, performance optimization, and cost efficiency
• Mentor and coach team members, elevating overall engineering capability through guidance, knowledge sharing, and hands-on support
• Perform code and design reviews, ensuring adherence to standards, maintainability, and optimal performance of data solutions
• Lead root cause analysis and issue resolution, implementing preventative measures and performance improvements across pipelines and platforms
• Continuously improve delivery processes, identifying opportunities to increase speed, quality, automation, and reliability
• Implement and enforce data governance practices, including lineage, documentation, data quality checks, and secure data handling
• Collaborate with platform and infrastructure teams to ensure optimal use of cloud data platforms (e.g., Snowflake, Azure), including performance tuning, and cost management
• Support DevOps and CI/CD practices for data engineering, including automated testing, deployment pipelines, and environment management
• Ensure operational excellence, including monitoring, alerting, and SLAs for critical data pipelines and data products
• Contribute to platform strategy and tool selection, evaluating new technologies to enhance data engineering capabilities and self-service enablement
• Reads and follows the client's Code of Conduct and all physical and digital security practices.
• Performs other duties as directed. None of the foregoing information in any way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow other job-related instructions and perform other job-related duties as requested. Duties are not necessarily comprehensive and are subject to change at any time at the discretion of management. Consult the position qualifications for this job when using the position profile for hiring, transfer, and promotion decisions or when providing career guidance.

QUALIFICTIONS

• Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics or related field
• Deep experience with data transformation, ETL / ELT and data management
• Deep experience with writing and optimizing complex SQL
• Experience with data modeling using dimensional modeling techniques (Star Schema)
• Experience in cloud infrastructure, computing, on Big Data platforms
• Understanding of structured, unstructured, semi-structured data
• Experience with data streaming, messaging, and event driven data architecture
• Knowledge in data governance and data quality frameworks
• Experience of working in an Agile environment
• Experience working with all NoSQL Databases e.g. Graph, Document, Column
• Knowledge of machine learning and artificial intelligence concepts
• Ability to articulate an idea with strong communication and presentation skills
• Work as part of a small team, sharing ideas and contributing to the strategic goals