Lead Data Engineer, AI, Insights & Solutions

Bain & Company; São Paulo; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Join a forward-thinking consultancy as a Lead Data Engineer, where your expertise will drive innovative data solutions for top-tier clients. Collaborate with a talented team to design, develop, and deploy sophisticated data engineering infrastructures that meet the demands of the world's largest companies. This role offers the chance to work with cutting-edge technologies in a vibrant environment that champions diversity and social responsibility. If you're passionate about data engineering and eager to tackle complex challenges, this is the perfect opportunity to make a significant impact.

Serviços

Diversity and inclusion initiatives

Recognition as a top workplace

Social responsibility programs

Qualificações

• 5+ years in data engineering roles, including senior positions.
• Experience in deploying serverless data pipelines and ETL frameworks.

Responsabilidades

• Designing and developing data engineering solutions for diverse industries.
• Engaging in the entire engineering life cycle, from design to deployment.

Conhecimentos

Python

Scala

C/C++

Java

C#

Go

SQL

NoSQL

AWS

DevOps

Formação académica

Bachelor's degree in Computer Science

Master’s degree in Engineering

Ferramentas

Terraform

Airflow

Kubernetes

GitHub Actions

Descrição da oferta de emprego

Lead Data Engineer, AI, Insights & Solutions

Job ID: 90101

Areas of Work: Technology & Engineering

Employment Type: Permanent Full-Time

Location(s):

Description & Requirements

Applications must be submitted in English

ABOUT US

Bain & Company is a global consultancy that helps the world’s most ambitious change-makers define the future.

Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes.

WHO YOU'LL WORK WITH

As a member of Bain’s Advanced Analytics Group, you’ll join a talented team of diverse and inclusive analytic and engineering professionals who are dedicated to solving complex challenges for our clients.

WHAT YOU’LL DO

As a Lead Data Engineer, you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated data engineering solutions and infrastructure at a production scale suitable for the world’s largest companies.

ABOUT YOU

Technical Skills and Knowledge:

1. Proven experience in end-to-end data and software engineering within either/or product engineering or professional services organizations; including project setup, test cases, dependency, and build management.
2. 5 years minimum experience in relevant data engineering roles (3+ years at Senior or Staff level, or equivalent).
3. Working knowledge of (3+ years) Python, Scala, C/C++, Java, C#, Go, or similar programming language.
4. Experience in deploying serverless data pipelines through containerization and terraform orchestration.
5. Experience in data ingestion using one or more modern ETL compute and orchestration frameworks (Airflow, Beam, Luigy, Spark, Nifi or any other).
6. Experience (3+ years) of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake.
7. Experience with Cloud platforms and services (AWS, Azure, GCP, etc.) or Kubernetes via Terraform automation, and associated deep understanding of failover, high-availability, and high scalability.
8. Experience with DevOps, CI/CD, Github Actions, version control and git workflows.
9. Experience scaling and optimizing schema and performance turning SQL and ETL pipelines in data lake and data warehouse environments.
10. Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
11. Experience working according to agile principles.

Interpersonal Skills:

1. Professional level proficiency in speaking, reading, and writing in English.
2. Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms, and techniques with colleagues and clients from other disciplines.
3. Curiosity, proactivity, and critical thinking.
4. Ability to collaborate with people at all levels and with multi-office/region teams.

Education:

1. Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility.