Senior Data Engineer - Technology

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 data formats. This 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 feel that you can make an impact through innovation and collaboration and come to work with a passion to facilitate in delivering high quality data to our teams and clients, this is a great role for you.

Responsibilities

• Build, test and maintain data pipelines that support the data sciences team and customer-facing client teams.

• Track and manage pipeline efficiency and stability.

• Evaluate, parse, clean, and integrate raw data sets including third party APIs. Help build sophisticated ETL processes around first party data such as survey data, second and third-party data sources such as IP addresses, clickstream data, movie meta data.

• Provide recommendations for data storage, configurations, data access tools and new technologies/architectures.

• Develop code-based data transformation/aggregation in data warehouses, relational databases, and possibly non-relational databases, as well as for the purpose of integration with BI tools such as Tableau.

• Participate in developing data APIs for data ingestion of our client data into client-side applications or client-side data systems.

• Assist application developers in the effective use of database query and programming languages.

• Facilitate and collaborate with external third party vendors in data engineering and data architecture projects.

• Contribute to managing data integrity, data storage efficiency and data ecosystem efficiency.

• Our client's data systems center around Snowflake and dbt. Strong experience and familiarity with both is required.

• Project duration: until end of december.

Qualifications and Job Requirements

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