Middle Data Engineer

Exadel Inc.

Job Overview

Location

São Paulo

Job Type

Full-time

Full Job Description

📋 Description

• Join Exadel, a global AI-first tech company with over 25 years of engineering expertise, a dynamic team of 2,000+ professionals, and a proven track record of delivering over 500 impactful projects for Fortune 500 clients like HBO, Microsoft, Google, and Starbucks.
• As a Middle Data Engineer based in São Paulo, you will play a pivotal role in shaping and evolving data architectures that underpin strategic indicators, organizational goals, and customer engagement initiatives.
• Your primary responsibility will be to design, build, and automate robust ETL/ELT pipelines, ensuring seamless integration between transactional and analytical systems to provide a unified view of data.
• You will be instrumental in developing and optimizing sophisticated analytical data models, employing best practices such as Star Schema and Snowflake methodologies to enhance data accessibility and performance.
• A core part of your role will involve writing and optimizing advanced SQL queries, leveraging techniques like Common Table Expressions (CTEs) and window functions, alongside meticulous performance tuning to ensure efficient data retrieval and processing.
• You will utilize Python extensively for data processing tasks and automation, building scalable and maintainable code to streamline data workflows and enhance operational efficiency.
• This position requires hands-on experience in building and maintaining cloud-based data platforms, with a specific focus on the Amazon Web Services (AWS) ecosystem.
• You will work directly with key AWS services such as Amazon S3 for data storage, Redshift for data warehousing, and Athena for interactive querying, ensuring optimal data management and analytics capabilities.
• A critical aspect of your role will be to enforce stringent data quality standards, implement robust data governance policies, and maintain clear data lineage across all datasets, ensuring data integrity and trustworthiness.
• You will collaborate closely with business stakeholders, acting as a bridge between technical teams and business units to translate complex business needs into actionable, reliable analytical datasets that drive informed decision-making.
• Your expertise will also extend to supporting Business Intelligence (BI) and analytics tools, including but not limited to Power BI, Tableau, and Looker, enabling stakeholders to visualize and interpret data effectively.
• A significant part of this role involves ensuring strict compliance with regulatory and governance requirements, particularly within the banking and fintech sectors, where data security and adherence to standards are paramount.
• You will contribute to the continuous improvement of our data infrastructure, identifying opportunities for optimization and innovation in data processing, storage, and analytics.
• This role offers the chance to work on challenging international projects, contributing to the success of leading global organizations and expanding your professional horizons.
• You will be part of a collaborative team environment that values innovation, continuous learning, and the sharing of knowledge, fostering personal and professional growth.
• The position demands a proactive approach to problem-solving, the ability to work independently, and a commitment to delivering high-quality data solutions.
• You will be empowered to take ownership of your work, from initial design to final implementation, ensuring that data solutions are not only functional but also scalable and sustainable.
• Your contributions will directly impact the ability of our clients to leverage data for strategic advantage, driving business outcomes and fostering a data-driven culture.
• We encourage a mindset of continuous learning and adaptation, staying abreast of the latest trends and technologies in the data engineering landscape.
• This role is ideal for a data engineer who is passionate about building efficient, reliable, and scalable data systems and thrives in a fast-paced, client-focused environment.

🎯 Requirements

• 4+ years of experience as a Data Engineer.
• Advanced SQL proficiency (CTEs, window functions, performance optimization).
• Experience with analytical data modeling (Star Schema and Snowflake).
• Hands-on experience building and automating ETL/ELT pipelines.
• Strong Python skills for data processing and automation.
• Solid experience with cloud data architectures on AWS.
• Practical experience with Amazon S3 and Redshift and/or Athena.
• Experience integrating transactional and analytical systems.
• Strong background in Data Warehousing and Data Lakes.
• Experience using Git for code versioning.
• Strong understanding of data quality, governance, and lineage.
• Ability to translate business requirements into reliable analytical datasets.
• Experience with BI tools (Power BI, Tableau, Looker).
• Prior experience in regulated environments (banks, fintechs, LGPD).
• Experience with dbt (nice to have).
• Use of orchestration tools such as Airflow, Prefect, or Dagster (nice to have).

🏖️ Benefits

• International projects.
• In-office, hybrid, or remote flexibility.
• Medical healthcare.
• Recognition program.
• Ongoing learning & reimbursement.
• Well-being program.
• Team events & local benefits.
• Sports compensation.
• Referral bonuses.
• Top-tier equipment provision.

Skills & Technologies

Python

AWS

Terraform

Git

Kafka

Mid-level

Remote

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Exadel Inc.

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About Exadel Inc.

Exadel is a U.S.-based global software engineering company founded in 1998. It provides digital transformation and custom application development services to enterprises, leveraging cloud, AI, and modern architectures. The company offers product strategy, UX/UI design, full-stack development, QA, and managed support across industries including financial services, healthcare, retail, and technology. Headquartered in Walnut Creek, California, Exadel maintains delivery centers in Eastern Europe and Asia, combining nearshore agility with enterprise-grade processes. Clients range from Fortune 500 firms to growth-stage companies seeking scalable, secure software solutions.

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