Data Engineer II (L3)

Teachable, Inc.; Brasil; Teletrabalho; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

Join a dynamic and diverse team at an innovative company that empowers creator-educators globally. As a Data Engineer, you will play a crucial role in supporting data-driven decision-making across various business domains. Your expertise in data ingestion, modeling, and pipeline implementation will help enhance analytics and reporting capabilities. With a remote-first culture, the company values flexibility while fostering a strong community through in-person events. If you're passionate about data and eager to make a meaningful impact, this is the perfect opportunity for you.

Qualificações

• 2+ years of experience in Data Engineering or similar roles.
• Experience with database languages and cloud infrastructure.
• Critical thinking for evaluating contexts and making decisions.

Responsabilidades

• Manage data flow from ingestion to final consumption.
• Develop and maintain entity-relationship models.
• Collaborate with stakeholders to support reporting needs.

Conhecimentos

Data Engineering

Analytics Engineering

Business Intelligence

PostgreSQL

Redshift

AWS

Python

ETL/ELT

Ferramentas

AWS

Apache Airflow

S3

Redshift Spectrum

Athena

Descrição da oferta de emprego

Teachable is trusted by creator-educators around the world to grow their impact and income. From online courses and communities to memberships and downloads, Teachable's digital learning products help creator-educators drive meaningful connection and sustainable revenue. With industry-best ecommerce tools, easily toggled on directly within the platform, creators can confidently maximize their earnings, while getting paid directly by their audience. Teachable's unmatched focus on the student learning experience also ensures creators can make a positive and influential impact on their communities—entirely on their own terms. Today, tens of thousands of creator-educators use Teachable to share their knowledge, reaching millions of students around the world. To learn more, visit teachable.com.

Are you ready to join a dynamic, cross-cultural team at an exciting turning point in our company’s journey? Now part of the globalHotmart Company portfolio, whose platforms have helped creators earn more than $10 billion, Teachable continues to take the creator economy by storm as a true industry leader. Together, Teachable and Hotmart are delivering market-leading products that prioritize creator control and flexibility, alongside meaningful partnership and support from our team. If you have big ideas, relish the chance to challenge convention, and deeply believe in the power of creators to shape the future, we want you on our team!

About Your Team

At Teachable, our Data team aims to support company data-driven decision-making. Reporting to the Data Engineering Manager, you will work closely with our stakeholders, gather requirements, model data and support functions across Teachable’s business.

What is the role?

We are seeking a skilled Data Engineer to join our dynamic Data team. The ideal candidate will have a comprehensive understanding of the data lifecycle from ingestion to consumption, with a particular focus on data modeling. This role will support various business domains, such as Product, Marketing and Finance, by organizing and structuring data to support robust analytics and reporting.

This role will be part of a highly collaborative corporate made up of US and Brazil-based employees.

In this role you'll:

• Data Ingestion to Consumption: Manage the flow of data from ingestion to final consumption. Organize data, understand modern data structures and file types, and ensure proper storage in data lakes and data warehouses.
• Data Modeling: Develop and maintain entity-relationship models. Relate business and calculation rules to data models to ensure data integrity and relevance.
• Pipeline Implementation: Design and implement data pipelines using preferrable SQL or Python to ensure efficient data processing and transformation.
• Reporting Support: Collaborate with business analysts and other stakeholders to understand reporting needs and ensure that data structures support these requirements.
• Documentation: Maintain thorough documentation of data models, data flows, and data transformation processes.Documentation also supports knowledge sharing, status updates with non-technical stakeholders.
• Collaboration: Work closely with other members of the Data Team and cross-functional teams to support various data-related projects.
• Quality Assurance: Implement and monitor data quality checks to ensure accuracy and reliability of data.

What You’ll Bring

• 2+ years of experience working within Data Engineering, Analytics Engineering, Business Intelligence or similar functions.
• Experience in database languages (PostgreSQL, Redshift, S3), indexing and partitioning to handle large volumes of data and create optimized queries and databases, and file manipulation and organization, such as Parquet.
• Experience with the "ETL/ELT as code" approach for building Data Marts and Data Warehouses.
• Experience with cloud infrastructure (AWS) and knowledge of solutions like Athena, Redshift Spectrum, SageMaker and Apache Airflow for creating DAGs.
• Experience with error and inconsistency alerts, including detailed root cause analysis, correction, and improvement proposals.
• Critical thinking for evaluating contexts and making decisions about delivery formats that meet the company’s needs (e.g., materialized views, etc.).
• Knowledge in Python is a plus.

While Teachable maintains our NY office for local employees to use, we operate as a remote-first culture in order to give our employees added flexibility. In order to maintain connection and create a community beyond the screen, Teachable holds in-person events throughout the year, where employees and teams can come together for bonding, strategic alignment, goal-setting, and celebrations!

Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.

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