Data Engineering Lead

São Paulo, State of São Paulo, Brazil - Remote

Full Time Mid-level / Intermediate
Sinch logo

Sinch

Connect with customers and make engagement personal with our simple, programmable SMS, voice, video, & verification tools. Find out more information today.

View all employer listings

Apply now Apply later

We are Sinch. With presence in more than 50 countries, we’re a growing global organization that helps amazing companies engage with customers on their mobile phones. And whether you know us or not, you’ve definitely used our tech. We reach every phone on earth, with over 147 billion conversations every year.

This is a chance for you to dream even bigger than ever. And because we believe that equal opportunities are the key to our success, no matter who you are, you’ll be able to explore career options, face fascinating challenges, building your skills alongside amazing experts. It’s not easy to reach every person, on every phone, on every channel, everywhere. Create the software that makes it happen. Join our team as a Data Engineer Lead in Brazil!

1. Role and Responsibilities

As our new Data Engineer Lead, you will:

  • Be part of our Data & Analytics team helping us to build a platform that unifies the data and business rules from all our products around the world, using innovative approaches and technologies in the market.

The opportunity

This is an opportunity for you to create, drive and implement high-impact initiatives in a fast-growing business. We make things happen and we know how important they are – to our customers and the world.

  • Technical and career leadership of the data engineering team;
  • Lead data engineering projects;
  • Technical reference for the team in defining and implementing solutions;
  • Prioritization of data demands, negotiating deadlines and delivery;
  • Work on the data integration of various platforms and products;
  • Contribute to data pipelines development, performance, quality, monitoring, and maintenance;
  • Identify opportunities for improvement in our products/business with the use of data;
  • Advocate for data engineering best practices inside the team;
  • Ensure data lake governance;

Requirements

2. In order to contribute to this role, you have:

  • Experience with projects together with the business and product teams
  • Experience with agile methods for managing teams and projects;
  • Strong knowledge of software development (e.g.: Python, Git and etc);
  • Experience with SQL to query data and build ETLs;
  • Experience working with data lake and data warehouse, using best practices to structure and store big volumes of data;
  • Experience in data pipeline creation/orchestration tools (e.g.: Airflow, Luigi);
  • Cloud experience (e.g.: GCP or AWS);
  • Advanced or fluent English (Engineering team is a global team and you will have meetings with teams from europe)

3. Big Plus!

You'll stand out from the crowd if you have:

  • Experience in team management;
  • Experience in CI/CD or DataOps;
  • Experience in Infrastructure as code (e.g.: terraform);
  • Experience with relational databases (e.g.: PostgreSQL, CloudSQL, RDS);
  • Experience working as a data architect (definition, creation and implementation of architectures);
  • Experience developing APIs;
  • Experience in streaming processing.

4. Being you at Sinch:

We're a worldwide group of people, committed to diversity. We're working to offer an increasingly inclusive workplace wherever you are. No matter who you are, you'll be able to explore new career and growth options - sharing your voice, building your path and making it happen with us.

We’re proud to be an equal opportunity employer, and all qualified applicants will be considered to join our team regardless of race, color, religion, gender identity or expression, sexual orientation, pregnancy, disability, age, veteran status, and more.

Benefits

Tags: Agile Airflow AWS Data pipelines Engineering GCP Git PostgreSQL Python SQL Streaming Terraform

Perks/benefits: Career development

Regions: Remote/Anywhere South America
Country: Brazil
Job stats:  5  0  0
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.