Envision Technology Solutions

Ab Initio Data Engineer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
July 17, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Berkeley Heights, NJ
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🧠 - 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€’ Bachelor’s 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