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 enhance customer data management. This fully remote role requires 5+ years of experience in data engineering, proficiency in Python, and expertise with technologies like Apache Spark and GCP. Responsibilities include overseeing scalable data services and ensuring data accuracy across various platforms. Benefits include a structured schedule fostering work-life balance, two weeks of paid vacation, and 10 paid local holidays. The position is full-time with a 3-month duration, ending on March 31, 2026, with potential for extension.

Serviços

Work-life balance

Paid vacation

Paid local holidays

Fully remote position

Qualificações

• 5+ years of experience as a Data Engineer or similar role.
• Strong experience with modern data processing tools and technologies.
• Ability to design complex data pipelines.

Responsabilidades

• Manage scalable batch and real-time services as part of the CI team.
• Ensure customer data accuracy and accessibility.
• Leverage tools and platforms to enhance customer experiences.

Conhecimentos

Python

Apache Airflow

Scala

Apache Spark

Spark SQL

Spark Streaming

SQL queries

GCP

RESTful APIs

Apache Kafka

Ferramentas

BigQuery

BigTable

Dataproc

Databricks

Snowflake

Java

Springboot

Descrição da oferta de emprego

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

Native / Bilingual English is required for this role (read / written / spoken). Please upload your CV Resume in English.

Overview

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)

• 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.