

Galactic Minds INC
LUMI Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with AXP LUMI, a hybrid contract position in Phoenix, AZ. Candidates should have expertise in Spark, GCP ETL pipelines, and strong SQL skills, with AXP LUMI experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
-
🧠 - Skills detailed
#GIT #Data Processing #Programming #Airflow #Shell Scripting #Jenkins #Kafka (Apache Kafka) #SQL (Structured Query Language) #Python #Scripting #"ETL (Extract #Transform #Load)" #Data Engineering #Automated Testing #GCP (Google Cloud Platform) #Scala #Schema Design #Spark (Apache Spark) #Data Pipeline #Big Data #BigQuery
Role description
Role : Senior Data Engineer With AXP LUMI
Location: Phoenix , AZ (Hybrid)
Type: Contract
We are seeking two highly skilled Senior Data Engineers with strong experience building big data solutions, GCP-based ETL pipelines, and Spark applications. The ideal candidates will bring strong problem-solving ability, clear communication skills, and a collaborative mindset. Experience with AXP LUMI is strongly preferred due to the time-sensitive and business-critical nature of the work.
Core Technical Expertise
• Hands-on experience building big data and analytics solutions using Spark, Python, shell scripting, and GCP services such as BigQuery, Airflow, Dataproc, Pub/Sub, and Kafka.
• Strong expertise in designing, developing, and optimising large-scale data pipelines for data processing, transformation, and analytics workloads.
• Advanced SQL and database skills, including data modelling, performance tuning, and scalable schema design.
• Solid understanding of distributed systems, multi-tier architectures, algorithms, and relational database concepts.
• Strong object-oriented programming skills and familiarity with software design patterns.
Engineering and Delivery Practices
• Experience working with CI/CD pipelines, automated testing frameworks, and source code management tools such as XLR, Jenkins, and Git.
• Ability to contribute effectively in fast-paced, high-priority delivery environments while maintaining code quality and reliability.
• Strong collaboration and communication skills, with the ability to work closely with cross-functional teams to deliver critical data solutions.
Role : Senior Data Engineer With AXP LUMI
Location: Phoenix , AZ (Hybrid)
Type: Contract
We are seeking two highly skilled Senior Data Engineers with strong experience building big data solutions, GCP-based ETL pipelines, and Spark applications. The ideal candidates will bring strong problem-solving ability, clear communication skills, and a collaborative mindset. Experience with AXP LUMI is strongly preferred due to the time-sensitive and business-critical nature of the work.
Core Technical Expertise
• Hands-on experience building big data and analytics solutions using Spark, Python, shell scripting, and GCP services such as BigQuery, Airflow, Dataproc, Pub/Sub, and Kafka.
• Strong expertise in designing, developing, and optimising large-scale data pipelines for data processing, transformation, and analytics workloads.
• Advanced SQL and database skills, including data modelling, performance tuning, and scalable schema design.
• Solid understanding of distributed systems, multi-tier architectures, algorithms, and relational database concepts.
• Strong object-oriented programming skills and familiarity with software design patterns.
Engineering and Delivery Practices
• Experience working with CI/CD pipelines, automated testing frameworks, and source code management tools such as XLR, Jenkins, and Git.
• Ability to contribute effectively in fast-paced, high-priority delivery environments while maintaining code quality and reliability.
• Strong collaboration and communication skills, with the ability to work closely with cross-functional teams to deliver critical data solutions.






