Senior Data Engineer - Digital Marketing

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

Our client is a challenger holding company built to transform marketing through a faster, cheaper, and more accessible media mix modelling (MMM) and scenario planning solution.

Job Summary

They are looking for a skilled Data Engineer with 5–7 years of experience to join their team. The ideal candidate will have hands-on expertise in ETL pipelines, data transformations, and performance optimization, with strong problem-solving skills and the ability to communicate effectively across technical and non-technical teams.

Responsibilities

• Pipeline Architecture: Design, build, and maintain scalable ETL pipelines for large-scale data processing.

• Core Tech Stack: Work extensively with PySpark and Databricks to execute complex data transformations and workflows.

• Optimization & Efficiency: Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency.

• Cross-Functional Collaboration: Partner with engineering and business teams to translate requirements into high-quality data solutions.

• Troubleshooting & Maintenance: Debug, resolve, and prevent complex data processing and pipeline bottlenecks.

• Data Standards: Enforce best practices for data quality, governance, and system performance.

Qualifications and Job Requirements

• Experience: 5–7 years of hands-on data engineering experience building production-grade solutions.

• Core Technologies: Strong proficiency in PySpark and extensive hands-on experience with Databricks.

• Specialized Expertise: Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization.

• Data Architecture: Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization.

• Core Competencies: Exceptional problem-solving skills and the ability to communicate technical concepts clearly across both technical and business teams.

What We Offer

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