Overview

Are you ready to shape the data architecture of the biggest datatech on the market? We are looking for a Senior Data Engineering Analyst to join our Data Office in a fully remote and worldwide opportunity. This is an affirmative position exclusively for women. You will build complex data flows, design highly resilient pipelines, and help drive our cloud transformation journey forward.

Key Responsibilities

Develop and maintain scalable and efficient data pipelines using PySpark.
Migrate and modernize legacy processes into advanced distributed processing models.
Implement robust data processing solutions within AWS cloud environments.
Collaborate closely with product teams and data analysts to clarify business rules and requirements.
Optimize data architectures while keeping a close eye on performance, governance, and cloud costs.
Support data quality initiatives by building monitoring applications and insightful dashboards.
Handle large scale data ingestion, cleaning, and prioritization workflows.

Requirements

Strong professional background in senior data engineering roles.
Advanced expertise in PySpark and distributed data processing.
Proven experience designing and scaling solutions on AWS.
Solid understanding of data governance, performance tuning, and cost optimization.
Ability to translate complex business needs into resilient technical pipelines.
Fluent communication skills to collaborate effectively in a global remote team.

What You'll Gain

Working with us means joining a cutting edge tech environment where your voice truly matters. You will enjoy total remote flexibility, collaborate with brilliant minds across the globe, and have ample room to innovate while tackling massive data challenges.