Senior Data Engineer

Applaudo; Sapucaia do Sul; Presencial; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A technology firm in Brazil is seeking a Senior Data Engineer to build and maintain scalable data platforms. The ideal candidate will have over 5 years of experience in data engineering, strong SQL expertise, and proficiency in Python. Responsibilities include designing data pipelines for analytics and AI use cases, optimizing workflows, and collaborating with product teams. This role offers a great work environment and modern work spaces in a collaborative setting.

Serviços

Celebrations

Special discounts

Entertainment area

Modern Work Spaces

Great work environment

Private medical insurance

Qualificações

• 5+ years of experience as a Data Engineer, building and operating production-grade data pipelines.
• Strong expertise in SQL, including advanced joins and performance tuning.
• Hands-on experience building ETL / ELT pipelines using modern orchestration tools.

Responsabilidades

• Design, build, and maintain scalable data pipelines supporting analytics.
• Implement and optimize ETL / ELT workflows with focus on performance.
• Collaborate with analytics and product teams to understand data requirements.

Conhecimentos

SQL Expertise

Python Proficiency

Data Pipeline Design

Cloud Platforms Experience

ETL/ELT Pipeline Development

CI/CD Practices

Data Quality Management

Advanced English

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Airflow

Dagster

DBT

Snowflake

Databricks

PostgreSQL

Descrição da oferta de emprego

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.

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.

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 as 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

Some of our perks and benefits :

• Celebrations
• Special discounts
• 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.