Sr. Big Data Engineer

Tecla; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading retail innovator located in São Paulo, Brazil, is seeking a Senior Big Data Engineer to join their team. This fully remote position requires over 5 years of experience in data engineering, with strong proficiency in Python, Apache Airflow, and various database technologies. The role focuses on building robust data pipelines and ensuring data accuracy to enhance customer interactions. The position offers a competitive salary of $4,000 - $5,000 USD per month and comprehensive benefits including two weeks of paid vacation annually.

Serviços

Fully remote position

Structured schedule

Two weeks of paid vacation

10 paid days for local holidays

Qualificações

• 5+ years of professional experience as a Data Engineer or in a closely related role.
• Strong experience with Python.
• Hands‑on experience with Airflow.

Responsabilidades

• Build and maintain scalable data pipelines for customer data.
• Leverage modern development practices to enhance customer experiences.
• Collaborate with CI team to ensure accurate data access.

Conhecimentos

Data Engineering

Python

Apache Airflow

Scala

Spark

Spark SQL

Spark Streaming

SQL

Apache Kafka

GCP

RESTful APIs

Ferramentas

Databricks

Snowflake

Java

Springboot

Descrição da oferta de emprego

Native / Bilingual English is required for this role (read / written / spoken)

Please upload your CV Resume in English.

Monthly salary: $4,000 - $5,000 USD

Along with our partner, we are seeking a Senior Big Data Engineer to join the Customer Identity (CI) team that is central to the enterprise, focused on ensuring customer data is accurate, consistent, and readily accessible. This critical data is the foundation for essential business processes, including personalized marketing, analytical reporting, and seamless online and in-store checkout and customer service experiences.

They manage a wide array of high-performance, scalable batch and real-time services. These services are utilized at numerous customer interactions, such as in-store purchases, online orders, rewards program enrollments, and activations from various marketing channels (Email, Direct Mail, SMS, Push notifications, etc.). By leveraging modern development practices, tools, and technology platforms, the CI team builds capabilities that empower customer-facing and checkout teams to deliver personalized, relevant, and frictionless experiences, ensuring customers realize value with every interaction.

Core hours

This team operates in every major US time zone from Pacific to Eastern. Core hours would be considered 10 am CST - 4 pm CST with 2 hours spilling over either direction based on location.

Required Skills

Non‑Negotiable Requirements

• 5+ years of professional experience as a Data Engineer or in a closely related role.
• Strong experience with Python.
• Hands‑on experience with Airflow.
• Experience working with Scala.
• Experience with Spark, Spark SQL, and Spark Streaming.
• Experience designing and working with relational and NoSQL databases.
• Direct experience using Apache Kafka.
• Strong ability to write complex SQL queries.
• Experience with GCP, including BigQuery, BigTable, and Dataproc.
• Experience working with RESTful APIs in data pipelines.

Tech Stack

Python, Apache Airflow, Apache Spark, Spark SQL, Spark Streaming, Kafka, Relational Databases, NoSQL Databases, GCP BigQuery, BigTable, Dataproc, RESTful APIs.

Bonus Skills

• Experience with Databriks, Snowflake, Java, Springboot.

Duration

3 months; end date being March 31, 2026, with the possibility of being extended based on team needs.

Benefits

• A fully remote position with a structured schedule that supports work‑life balance.
• The opportunity to join a leading retail innovator transforming the shopping experience through cutting‑edge technology.
• Two weeks of paid vacation per year.
• 10 paid days for local holidays.

• Please note our partner is only looking for full‑time dedicated team members who are eager to fully integrate within their team.