Quantum World Technologies Inc.
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer located in Phoenix, AZ, with a long-term contract. Requires 5+ years of experience in Big Data, Python, Pyspark, SQL, and GCP technologies. Certifications in GCP Professional Data Engineer are a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
-
🧠 - Skills detailed
#Compliance #Hadoop #Cloud #Computer Science #Programming #"ETL (Extract #Transform #Load)" #Database Systems #GitHub #GCP (Google Cloud Platform) #Automation #Kafka (Apache Kafka) #Data Pipeline #Scripting #PySpark #Scrum #Spark (Apache Spark) #Python #Jenkins #Agile #Data Engineering #SQL (Structured Query Language) #Data Processing #Scala #Data Warehouse #Databases #GIT #Airflow #Shell Scripting #Big Data
Role description
Role : GCP Data Engineer
Location: Phoenix AZ
Duration: Long term
Skills – Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git
Job Description
• BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
• 5+ years of hands-on software development experience with Big Data & Analytics solutions
• GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,
• Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
• Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
• Experience of building event processing pipelines with Kafka or GCP PubSub.
• Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
• Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
• Strong Object-Oriented Programming skills and design patterns.
• Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
• Good knowledge and experience with configuration management tools like GitHub
• Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
• Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Communicates effectively with product and cross functional team.
• Willingness to learn new technologies and leverage them to their optimal potential.
• Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
• Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
• Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
• Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
• Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology
Role : GCP Data Engineer
Location: Phoenix AZ
Duration: Long term
Skills – Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git
Job Description
• BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
• 5+ years of hands-on software development experience with Big Data & Analytics solutions
• GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,
• Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
• Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
• Experience of building event processing pipelines with Kafka or GCP PubSub.
• Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
• Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
• Strong Object-Oriented Programming skills and design patterns.
• Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
• Good knowledge and experience with configuration management tools like GitHub
• Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
• Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Communicates effectively with product and cross functional team.
• Willingness to learn new technologies and leverage them to their optimal potential.
• Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
• Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
• Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
• Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
• Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology
