Senior Big Data Engineer

Excelon Solutions United State
Remote
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AI Summary

We're looking for a Senior Big Data Engineer to work on a long-term contract. The ideal candidate will have 9+ years of experience in Python, SQL, GCP, and Spark. The role involves working with a team to ensure customer data is accurate and consistent.

Key Highlights
9+ years of experience in Python, SQL, GCP, and Spark
Work on a long-term contract
100% remote
Key Responsibilities
Work with the team to ensure customer data is accurate and consistent
Manage a wide array of high-performance, scalable batch and real-time services
Build capabilities that empower customer-facing and checkout teams to deliver personalized experiences
Technical Skills Required
Python SQL GCP Spark Airflow PySpark Spark SQL Spark Streaming Scala Relational/No SQL databases Apache Kafka RESTful APIs CI/CD (gitlab CI)
Benefits & Perks
100% remote
Long-term contract
Nice to Have
Experience with backend stack (Java, Spring boot)

Job Description


Title: Big data engineer

Duration: Long term contract(W2)

Location: 100% Remote

We’re looking for:

  • Python, SQL, GCP(BQ), Spark, Airflow, Java(Optional)
  • GCP Shop - using Big Query
  • Does NOT want a machine learning engineer, wants a big data engineer


Required Skills:

9+ years of experience

Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL databases, Apache Kafka, writing complex sql queries, GCP (Bigquery, Dataproc), working with RESTful APIs in data pipelines, CI/CD (gitlab CI)

Bonus Skills:

Experience with backend stack (Java, Spring boot)


Who the team is and what they do:

The Customer Identity (CI) team 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.

The CI team manages 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 our customer-facing and checkout teams to deliver personalized, relevant, and frictionless experiences, ensuring customers realize value with every interaction.


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