Senior Data Engineer - Technology (Latam)

Truelogic Software; São Paulo; Teletrabalho; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

An established industry player seeks a Senior Data Engineer passionate about innovation and collaboration. This role focuses on building and maintaining data pipelines to integrate diverse data sources, ensuring high-quality data delivery to teams and clients. With a commitment to employee well-being and work-life balance, the company offers a fully remote work environment, competitive compensation in USD, and opportunities to work with top American companies on impactful projects. Join a dynamic team that values your expertise and fosters exceptional career growth while contributing to transformative projects shaping the future.

Serviços

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work with Autonomy

Work with Top American Companies

Qualificações

• 3-5+ years of experience with dbt and Snowflake.
• Strong background in building data pipelines and ETL processes.
• Experience with cloud technologies and SQL.

Responsabilidades

• Provide recommendations for data storage and new technologies.
• Develop data transformation code for integration with BI tools.
• Collaborate with vendors on data engineering projects.

Conhecimentos

Data Pipeline Development

SQL

Cloud Technologies (GCP or AWS)

Data Transformation

Data APIs Development

Formação académica

Bachelor's Degree in Computer Science or related field

Ferramentas

Snowflake

dbt

Tableau

Descrição da oferta de emprego

Senior Data Engineer - Technology (Latam)

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About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

We are a leading global insights and strategy firm at the intersection of entertainment and technology. With decades of industry expertise, we provide top marketers with insights into growth and strategy for any content, anywhere, on any device. At the confluence of content, culture, and technology, we offer bold insights for storytellers everywhere.

Job Summary

We are looking for a data engineer with a strong background in building and maintaining data pipelines to integrate and process diverse data sources and formats. The ideal candidate should have a minimum of 3 years of related experience for a full-time position within our fast-paced and growing company.

If you are passionate about innovation and collaboration and excited to help deliver high-quality data to teams and clients, this is a great role for you.

Responsibilities

• Provide recommendations for data storage, configurations, data access tools, and new technologies/architectures.
• Develop code-based data transformation and aggregation in data warehouses, relational databases, and potentially non-relational databases, for integration with BI tools such as Tableau.
• Participate in developing data APIs for data ingestion into client-side applications or data systems.
• Assist application developers in the effective use of database queries and programming languages.
• Collaborate with external third-party vendors on data engineering and architecture projects.
• Contribute to managing data integrity, storage efficiency, and overall ecosystem performance.
• Experience with Snowflake and dbt is required for this role.
  
  

Qualifications And Job Requirements

• 3-5+ years of experience with dbt.
• Architectural Depth.
• 3+ years of experience in Snowflake.
• 3+ years of experience in building data pipelines or ETL.
• 3+ years of experience in cloud technologies/infrastructure (GCP or AWS).
• 3+ years of experience in SQL and database technologies.
  
  

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
  
  

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
  
  

Apply now!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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