Data Engineer

Vista Applied Solutions Group Inc; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A leading technology solutions firm in São Paulo is seeking a Senior Data Engineer to design and maintain scalable data pipelines for analytics and AI initiatives. The ideal candidate will have over 5 years of experience in data engineering, strong proficiency in SQL and Python, and a background in cloud platforms. This role offers flexibility, a collaborative environment, and professional growth opportunities within a dynamic team focused on innovation.

Serviços

Private medical insurance

Gympass

Training reimbursements

Flexible work environment

International experience opportunities

Qualificações

• 5+ years of experience as a Data Engineer, building production-grade data pipelines.
• Hands-on experience with ETL/ELT workflows.
• Knowledge of Tableau for data visualization and reporting.

Responsabilidades

• Design and maintain scalable data pipelines and ingestion processes.
• Collaborate with teams to understand data requirements.
• Implement data models and workflows for analytics.

Conhecimentos

SQL expertise

Python proficiency

Data model design

ETL/ELT pipeline building

Cloud platforms knowledge

Advanced English proficiency

Formação académica

Bachelor’s degree in Computer Science or equivalent experience

Ferramentas

Airflow

Tableau

Git

Snowflake

Descrição da oferta de emprego

• Regime: PJ
• Gympass
• Chat GPT Pro

Etapas

Job Description

About You

You are a Senior Data Engineer who enjoys building reliable, scalable data platforms and enabling data-driven and AI-powered products. You feel comfortable owning data pipelines end to end, working closely with analytics and AI/Data Science teams, and translating complex data problems into robust technical solutions.

You value clean architecture, performance, and data quality, and you’re curious about AI/ML integrations even if you’re not a model builder. You thrive in collaborative environments and can operate with autonomy while guiding best practices across teams.

You Bring to Applaudo the Following Competencies:

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or related field — or equivalent professional experience.
• 5+ years of experience as a Data Engineer, building and operating production‑grade data pipelines.
• Strong expertise in SQL, including advanced joins, CTEs, window functions, and performance tuning.
• Experience designing data models and analytical structures (dimensional models, facts, dimensions, SCDs).
• Hands‑on experience building ETL/ELT pipelines using modern orchestration tools (Airflow, Dagster, DBT, or similar).
• Proficiency in Python for data processing and pipeline development (PySpark is a strong plus).
• Solid experience working with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
• Familiarity with data platforms such as Snowflake, Databricks, PostgreSQL, or similar.
• Experience using Git and CI/CD practices as part of a modern data engineering workflow.
• Exposure to supporting AI/Data Science initiatives, such as data enablement for models, embeddings, entity matching, or advanced analytics (nice to have).
• Familiarity with graph databases, embeddings, or AI integrations from a data engineering perspective (nice to have).
• Ability to work independently and collaborate effectively with analysts, ML engineers, and product teams.
• Advanced English proficiency (B2+), able to work with global stakeholders.

You Will Be Accountable for the Following Responsibilities:

• Design, build, and maintain scalable data pipelines and ingestion processes supporting analytics and AI use cases.
• Implement and optimize ETL/ELT workflows with attention to performance, reliability, and cost.
• Design and evolve data models and curated layers to support reporting, analytics, and downstream systems.
• Collaborate with analytics, AI/Data Science, and product teams to understand data requirements and SLAs.
• Support AI and advanced analytics features by providing clean, well‑structured, and reliable datasets.
• Apply best practices around data quality, validation, monitoring, and observability.
• Write maintainable, well‑documented data code and contribute to shared standards and patterns.
• Participate in architecture discussions and help improve overall data platform design.
• (If senior/lead‑leaning) Support or mentor less‑experienced data engineers as the team grows.

Additional Information

Here at Applaudo Studios values trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Benefits

• Celebrations
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

Overview of the role

We are looking for a Data Engineer to join our Analyst team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest-growing companies in the industry!

Key responsibilities

• Collaborate with stakeholders to understand reporting requirements, finding and querying data sources to obtain the necessary data.
• Cleanse and massage data into the desired shape, creating Tableau datasets, reports, and dashboards as needed.
• Present the finished product and solicit comments from stakeholders.
• Deploy data, reports, and dashboards to Tableau; create reports based on analyst parameters.
• Upkeep and processing of SQL Server SPs and queries.

Requirements

• +3 years of experience as a Data Engineer.
• Knowledge of Tableau administration, licensing, security, and deployment, as well as at least one year of prior work experience with Tableau.
• A thorough comprehension of the ideas involved in relational data modeling.
• Strong analytic skills, hands‑on approach, and the ability to execute on promises.
• Strong organizational abilities, as well as a methodical approach to implementation, support, and documentation.
• Advanced English proficiency.

Benefits

• Flexibility: Choose where and how you work for enhanced creativity and innovation.
• Tailored Compensation: Personalize your earnings to suit your financial goals.
• Tech-Driven Tools: Access cutting‑edge resources for seamless collaboration and productivity.
• Autonomous Workflow: Take control of your schedule to achieve work‑life balance.
• Well‑being: Enjoy generous leave policies for rest and rejuvenation.
• Diversity & Inclusion: Thrive in a diverse and inclusive environment.
• Collaboration: Engage with industry leaders for collective growth.
• Development: Access mentorship and growth opportunities for continuous advancement.

What do we offer?

• Health insurance
• Life insurance
• Gympass
• TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates
• Partnership with SESC
• Reimbursement of Certifications
• Free TCS Learning Portal – Online courses and live training
• International experience opportunity
• Discount Partnership with Universities and Language Schools
• Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire
• TCS Gems – Recognition for performance
• Xcelerate – Free Mentoring Career Platform

At TATA Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility to build a TCS that respects individuality. Come to be a TCSer!