Sr. Big Data Engineer

Tecla; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A retail innovator in Brazil seeks a Senior Big Data Engineer to join their Customer Identity team. This fully remote position requires strong experience in Python and Apache Airflow, with a focus on customer data management for enhancing marketing and customer service experiences. The role includes managing scalable batch and real-time services to support various customer interactions. Candidates must have 5+ years of experience and familiarity with technologies such as Spark and Apache Kafka. Competitive benefits include a structured schedule, paid vacation, and local holidays.

Serviços

Work-life balance

Two weeks of paid vacation per year

10 paid days for local holidays

Qualificações

• 5+ years of professional experience as a Data Engineer or in a closely related role.
• Hands-on experience with Airflow and strong experience with Python.
• Experience working with relational and NoSQL databases.

Responsabilidades

• Join the Customer Identity team focused on ensuring customer data accuracy.
• Manage high-performance, scalable batch and real-time services.
• Leverage modern practices to empower customer-facing teams.

Conhecimentos

Python

Apache Airflow

Scala

Spark

SQL

Apache Kafka

GCP

RESTful APIs

Ferramentas

BigQuery

BigTable

Dataproc

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.