Sr. Big Data Engineer

Tecla; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading retail innovator is seeking a Senior Big Data Engineer to join their Customer Identity team to ensure customer data accuracy and accessibility. This role involves designing and managing scalable data services that support personalized marketing and customer experiences. Candidates should have 5+ years of experience, strong Python and GCP skills, and hands-on experience with Apache Airflow, Spark, and Kafka. This full-time remote position offers competitive pay, paid vacations, and work-life balance.

Serviços

Fully remote position

Two weeks of paid vacation per year

10 paid days for local holidays

Qualificações

• 5+ years of professional experience as a Data Engineer or closely related role.
• Strong experience with Python and hands-on experience with Airflow.
• Experience with Spark, Kafka, and GCP services like BigQuery.

Responsabilidades

• Design and manage high-performance data services for customer interactions.
• Ensure data accuracy and accessibility for business processes.
• Leverage modern development practices and technologies.

Conhecimentos

Python

Apache Airflow

Scala

Spark

Spark SQL

Spark Streaming

Relational Databases

NoSQL Databases

Apache Kafka

GCP

RESTful APIs

Ferramentas

Databriks

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.