Senior Data Engineer - BR-Sao Paulo

Globant; São Paulo; Vor Ort; BRL 120.000 - 220.000; Vollzeit

Zusammenfassung

Globant in São Paulo, Brazil, seeks a Data Engineer at senior or expert level to design and optimize data pipelines, architectures, and cloud-native data solutions. You will collaborate with business partners to deliver scalable, data-driven insights in a dynamic AI-enabled environment.

Proficiency in Spark (Scala or PySpark), SQL, Python or Java, and cloud platforms (GCP or AWS) is required, along with experience building Data Lake/Lakehouse architectures and modern data stack components such

Qualifikationen

• Fluent English (B2) with strong communication in technical and business discussions.
• Expert in data engineering fundamentals and large-scale pipeline design.
• Proficient in SQL and query optimization in analytical environments.
• Experience with relational and non-relational databases and performance tuning.
• Hands-on on Google Cloud or AWS and modern data stack components.
• Experience with Spark (Scala or PySpark) and Python/Java.
• Experience designing scalable Data Lake/Lakehouse architectures.
• Ability to design data architectures, not only implement tasks.

Kenntnisse

English

Data Engineering

SQL

Databases

Cloud Platforms

Databricks

Apache Flink

Airflow

Streaming

Apache Spark

Python

Java

Data Lake

Lakehouse

Data Architecture

Jobbeschreibung

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a Data Engineer Senior and/or Expert Level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

What will help you succeed:

• Fluent English (B2 - Upper Intermediate) with strong communication skills in technical and business discussions
• Strong experience in Data Engineering fundamentals, including distributed data processing and large-scale pipeline design
• Deep knowledge of SQL and advanced query optimization in analytical environments
• Experience working with relational and non-relational databases, including performance tuning and scalability strategies
• Strong experience with at least one major cloud platform: Google Cloud Platform or Amazon Web Services
• Hands-on experience with modern data stack components such as distributed processing frameworks (e.g. Databricks, Apache Flink), orchestration tools (e.g. Apache Airflow / Composer), and streaming services
• Hands-on experience with Apache Spark (Scala or PySpark) and solid programming skills in Python or Java
• Experience designing and implementing scalable Data Lake and Lakehouse architectures
• Ability to design data architectures, not only implement tasks

This job can be filled in location

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to positively impact the world.

At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter.