

Envision Technology Solutions
Ab Initio Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Ab Initio Data Engineer on a long-term contract in Berkeley Heights, NJ, offering competitive pay. Key skills include expertise in the Ab Initio ecosystem, Kafka, Unix/Linux, SQL, and cloud-based big data platforms, with a focus on credit card processing systems.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
July 17, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Berkeley Heights, NJ
-
π§ - Skills detailed
#Oracle #Databases #"ETL (Extract #Transform #Load)" #Big Data #Data Pipeline #Docker #Data Security #Batch #Security #Unix #Data Engineering #Data Science #Kafka (Apache Kafka) #Data Ingestion #Linux #Java #Kubernetes #Scripting #Ab Initio #Documentation #Python #Teradata #Cloud #Shell Scripting #SQL (Structured Query Language) #Computer Science #Data Processing #Compliance #Scala
Role description
Job Title - Ab Initio Data Engineer
Location - Berkeley Heights, NJ
Hire Type - Long Term Contract
Role Overview:
We are seeking a highly skilled resource to design and implement high-performance, event-driven data pipelines, ensuring low-latency data processing and high availability system for the large credit card processing system. The ideal candidate will work with the Ab Initio ecosystem (GDE, EME, Conduct>It) to build stateful services that ingest, filter, and transform data from sources like Kafka or message queues, pushing updates to dashboards or downstream databases in near-real-time.
Key Responsibilities:
β’ Create complex Ab Initio continuous flow graphs, including stateful joins, sliding time windows, and aggregations.
β’ Implement event-driven data pipelines using Kafka, MQ, and file streams.
β’ Ensure the resilience of continuous flows, including checkpointing and recovery, to guarantee "exactly-once" processing.
β’ Apply advanced Ab Initio components (e.g., Reformat, Rollup, Join, Partition) to ensure low-latency performance.
β’ Proactively monitor live production streams to ensure 24/7 reliability and troubleshooting data issues
β’ Develop ETL pipelines for batch and real-time data ingestion and transformation.
β’ Implement and ensure data validation, data security, integrity, and compliance across big data platforms.
β’ Monitor and troubleshoot performance issues in large-scale clusters.
β’ Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions.
β’ Automate workflows and improve operational efficiency using scripting and orchestration tools.
Required Skills & Qualifications:
β’ Deep understanding of credit card process system
β’ Deep knowledge of GDE (Graphical Development Environment), EME (Enterprise Meta>Environment), Conduct>It, and Continuous Flows.
β’ Understanding of Kafka, message queues, and real-time stateful services.
β’ Proficiency in Unix/Linux shell scripting, SQL, and database technologies (e.g., Oracle, Teradata).
β’ Experience in Java , Scala, Python or Kafka is plus.
β’ Familiarity with Linux/Unix environments and shell scripting.
β’ Understanding of data security, governance, and compliance standards.
β’ Experience with cloud-based big data platforms
β’ Exposure to containerization (Docker, Kubernetes) for big data workloads.
β’ Knowledge of CI/CD pipelines for data engineering projects.
Behavioral Skills:
β’ Good Communication skills
β’ 5 days Work from Office at Berkley Heights, NJ
β’ Team Player
β’ Ability to work in a changing environment
β’ Strong problem solving and analytical skills
β’ Ability to work independently or within a team
β’ Manage day-to-day challenges and communicate developmental risks with the technical team
Qualifications:
β’ Bachelorβs degree in computer science, Software Engineering, or a related field.
β’ Proficiency in business process modeling and documentation tools.
β’ Product implementation experience is preferred
Job Title - Ab Initio Data Engineer
Location - Berkeley Heights, NJ
Hire Type - Long Term Contract
Role Overview:
We are seeking a highly skilled resource to design and implement high-performance, event-driven data pipelines, ensuring low-latency data processing and high availability system for the large credit card processing system. The ideal candidate will work with the Ab Initio ecosystem (GDE, EME, Conduct>It) to build stateful services that ingest, filter, and transform data from sources like Kafka or message queues, pushing updates to dashboards or downstream databases in near-real-time.
Key Responsibilities:
β’ Create complex Ab Initio continuous flow graphs, including stateful joins, sliding time windows, and aggregations.
β’ Implement event-driven data pipelines using Kafka, MQ, and file streams.
β’ Ensure the resilience of continuous flows, including checkpointing and recovery, to guarantee "exactly-once" processing.
β’ Apply advanced Ab Initio components (e.g., Reformat, Rollup, Join, Partition) to ensure low-latency performance.
β’ Proactively monitor live production streams to ensure 24/7 reliability and troubleshooting data issues
β’ Develop ETL pipelines for batch and real-time data ingestion and transformation.
β’ Implement and ensure data validation, data security, integrity, and compliance across big data platforms.
β’ Monitor and troubleshoot performance issues in large-scale clusters.
β’ Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions.
β’ Automate workflows and improve operational efficiency using scripting and orchestration tools.
Required Skills & Qualifications:
β’ Deep understanding of credit card process system
β’ Deep knowledge of GDE (Graphical Development Environment), EME (Enterprise Meta>Environment), Conduct>It, and Continuous Flows.
β’ Understanding of Kafka, message queues, and real-time stateful services.
β’ Proficiency in Unix/Linux shell scripting, SQL, and database technologies (e.g., Oracle, Teradata).
β’ Experience in Java , Scala, Python or Kafka is plus.
β’ Familiarity with Linux/Unix environments and shell scripting.
β’ Understanding of data security, governance, and compliance standards.
β’ Experience with cloud-based big data platforms
β’ Exposure to containerization (Docker, Kubernetes) for big data workloads.
β’ Knowledge of CI/CD pipelines for data engineering projects.
Behavioral Skills:
β’ Good Communication skills
β’ 5 days Work from Office at Berkley Heights, NJ
β’ Team Player
β’ Ability to work in a changing environment
β’ Strong problem solving and analytical skills
β’ Ability to work independently or within a team
β’ Manage day-to-day challenges and communicate developmental risks with the technical team
Qualifications:
β’ Bachelorβs degree in computer science, Software Engineering, or a related field.
β’ Proficiency in business process modeling and documentation tools.
β’ Product implementation experience is preferred






