Sr. Big Data Engineer

Tecla; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading tech firm is seeking a Senior Big Data Engineer to join their Customer Identity team, ensuring the accuracy of customer data for enhanced marketing and service experiences. Candidates need 5+ years of experience, particularly with Python and Airflow, along with expertise in various databases and Apache Kafka. This fully remote position offers two weeks of paid vacation and local holidays while ensuring a structured work-life balance. The role has a duration of 3 months, ending on March 31, 2026, with possible extensions based on team needs.

Serviços

Fully remote position

Work-life balance support

Two weeks paid vacation

10 paid 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

• Join the Customer Identity team focusing on accurate customer data.
• Manage scalable batch and real-time services.
• Utilize modern development practices and technology platforms.

Conhecimentos

Python

Apache Airflow

Spark

Spark SQL

Spark Streaming

Apache Kafka

SQL

GCP BigQuery

RESTful APIs

Ferramentas

Scala

Relational Databases

NoSQL Databases

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.