

The Judge Group
Abinitio Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Abinitio Developer with a contract length of "unknown," offering a pay rate of "$X/hr." Candidates must have 5+ years in Data Engineering, strong skills in Ab Initio, Apache Spark, SQL, and experience in financial services preferred. Local candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chandler, AZ
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Spark (Apache Spark) #Leadership #Cloud #Oracle #Unix #Hadoop #Databases #Scripting #Python #Data Processing #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Engineering #Datasets #Ab Initio #AWS (Amazon Web Services) #Airflow #Agile #ML (Machine Learning) #Azure #Apache Spark #Shell Scripting #Teradata #Scrum #BigQuery #GCP (Google Cloud Platform) #MongoDB #Linux #Kafka (Apache Kafka)
Role description
•
• Note: Local candidates only
Minimum Qualifications
• 5+ years of experience in Data Engineering or Database Engineering (or equivalent experience)
• Strong hands-on experience with:
• Ab Initio (ETL development)
• Apache Spark (Core, SQL, DataFrames, Datasets)
• SQL and Data Warehousing (Teradata, Oracle, PL/SQL)
• 3+ years of experience with Python or similar scripting languages
• Experience with Google Cloud Platform (GCP) or other cloud platforms (AWS/Azure)
• Solid understanding of distributed systems and parallel data processing
• Experience with workflow orchestration tools (e.g., Airflow, Autosys)
• Proven ability to deliver end-to-end data engineering solutions
• Experience working in Agile/Scrum environments
• Strong verbal and written communication skills
Preferred Qualifications
• Prior experience in financial services
• Leadership experience guiding teams or large-scale data initiatives
• Experience with:
• BigQuery, Hadoop, Hive
• Kafka or real-time data streaming technologies
• Non-relational databases (e.g., MongoDB)
• Exposure to machine learning pipelines, Spark ML, or AI/LLM frameworks
• Familiarity with CI/CD pipelines and infrastructure-as-code practices
• Strong Unix/Linux and shell scripting skills
Top Skills
• Ab Initio
• Apache Spark
• Google Cloud Platform (GCP)
•
• Note: Local candidates only
Minimum Qualifications
• 5+ years of experience in Data Engineering or Database Engineering (or equivalent experience)
• Strong hands-on experience with:
• Ab Initio (ETL development)
• Apache Spark (Core, SQL, DataFrames, Datasets)
• SQL and Data Warehousing (Teradata, Oracle, PL/SQL)
• 3+ years of experience with Python or similar scripting languages
• Experience with Google Cloud Platform (GCP) or other cloud platforms (AWS/Azure)
• Solid understanding of distributed systems and parallel data processing
• Experience with workflow orchestration tools (e.g., Airflow, Autosys)
• Proven ability to deliver end-to-end data engineering solutions
• Experience working in Agile/Scrum environments
• Strong verbal and written communication skills
Preferred Qualifications
• Prior experience in financial services
• Leadership experience guiding teams or large-scale data initiatives
• Experience with:
• BigQuery, Hadoop, Hive
• Kafka or real-time data streaming technologies
• Non-relational databases (e.g., MongoDB)
• Exposure to machine learning pipelines, Spark ML, or AI/LLM frameworks
• Familiarity with CI/CD pipelines and infrastructure-as-code practices
• Strong Unix/Linux and shell scripting skills
Top Skills
• Ab Initio
• Apache Spark
• Google Cloud Platform (GCP)






