Lead Data Engineer

buscojobs Brasil; Paraná; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading company is looking for a Data Engineer to design and maintain their data systems while collaborating with diverse teams. This fully remote position offers the chance to work with cutting-edge data technology, ensuring data accuracy and reliability. Ideal candidates will have experience in SQL, AWS, and Python and can work in the Pacific Time Zone.

Qualificações

• Strong proficiency in SQL and relational databases.
• Hands-on experience with Fivetran or other ETL tools.
• Experience with AWS services such as S3 and Redshift.

Responsabilidades

• Design, develop, and maintain scalable data pipelines.
• Implement and manage data models using DBT.
• Write efficient SQL code for ETL processes.

Conhecimentos

Data maintenance

Data Lake S3

DBT

Terraform

SQL

Python

Snowflake

Fivetran ETL Tool

data modeling

Jira

AWS

Formação académica

Proven experience as a Data Engineer

Descrição da oferta de emprego

Location : Fully Remote (Supporting PT Time Zone)

Duration : 12 Months Initially (with possibility to extend by another 12 months)

Employment Type : Contract / Freelance / CNPJ

About Remobi :

We are building the world's greatest community of remote technologists!

Today, organizations that understand the value of remote working will reap the rewards. It doesn’t just provide team members with a healthier work-life balance, it gives you the opportunity to access the brightest minds in the world.

Our clients access our community to build or extend their existing teams. All are made up of remote, distributed software engineering experts - the best-in-class. Rapidly deployed without compromising on quality.

Join our Remobi community to have access to meaningful, innovative freelance projects and play a key role in shaping how companies operate.

Job Summary :

As a Data Engineer, you will be responsible for the design, development, and maintenance of our data systems. You will work closely with cross-functional teams to ensure the efficient collection, storage, and processing of data.

The ideal candidate will have a strong background in Data maintenance, Data Lake S3, DBT, Terraform, SQL, Python, Snowflake, Fivetran ETL Tool, data modeling, Jira, and AWS.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines and ETL processes using Fivetran and other ETL tools.
• Implement and manage data models using DBT to ensure data accuracy and consistency.
• Write efficient, maintainable SQL code to extract, transform, and load (ETL) data from various sources.
• Develop and maintain data infrastructure on AWS, including S3, Redshift, and other relevant services.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
• Perform data quality checks and ensure data integrity across different platforms.
• Monitor and optimize the performance of data systems and pipelines.
• Utilize Python for data manipulation, automation, and integration tasks.
• Track and manage project tasks and progress using Jira.
• Stay up-to-date with emerging data engineering technologies and best practices.

Qualifications :

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases.
• Experience with DBT (Data Build Tool) for data transformation and modeling.
• Hands-on experience with Fivetran or other ETL tools.
• Proficiency in Python for data-related tasks.
• Experience with AWS services such as S3, Redshift, Lambda, and Glue.
• Solid understanding of data modeling concepts and techniques.
• Familiarity with Jira for project management and issue tracking.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications :

• Knowledge of other programming languages such as Java or Scala.
• Familiarity with data visualization tools like Tableau or Power BI.
• Experience with real-time data processing frameworks like Apache Kafka or Spark

Why Join Us?

Work with modern data infrastructure & impact financial operations.

Collaborate with top engineers & business leaders in a fast-paced fintech environment.

Competitive Hourly Rate in USD

Fully Remote Position - Must support Pacific Time Zone.

Hiring Process

Two-stage interview process – Fast & efficient.

Knowledge transfer materials already prepared