Title: Data Engineer (Ab Initio OzoneCH Flink)/ Ab Initio Consultant
Role: Streaming Data Engineer Ab Initio OzoneCH Flink
Location: Berkeley Heights NJ (5 Days Onsite)
Job Description: 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:
Create complex Ab Initio continuous flow graphs including stateful joins sliding time windows and aggregations.
Implement event-driven data pipelines using Kafka MQ and file streams.
Ensure the resilience of continuous flows including checkpointing and recovery to guarantee exactly-once processing.
Apply advanced Ab Initio components (e.g. Reformat Rollup Join Partition) to ensure low-latency performance.
Proactively monitor live production streams to ensure 24/7 reliability and troubleshooting data issues
Develop ETL pipelines for batch and real-time data ingestion and transformation.
Implement and ensure data validation data security integrity and compliance across big data platforms.
Monitor and troubleshoot performance issues in large-scale clusters.
Collaborate with data scientists analysts and application teams to deliver high-quality data solutions.
Automate workflows and improve operational efficiency using scripting and orchestration tools.
Required Skills & Qualifications:
Deep understanding of credit card process system
Deep knowledge of GDE (Graphical Development Environment) EME (Enterprise Meta>Environment) Conduct>It and Continuous Flows.
Understanding of Kafka message queues and real-time stateful services.
Proficiency in Unix/Linux shell scripting SQL and database technologies (e.g. Oracle Teradata).
Experience in Java Scala Python or Kafka is plus.
Familiarity with Linux/Unix environments and shell scripting.
Understanding of data security governance and compliance standards.
Experience with cloud-based big data platforms
Exposure to containerization (Docker Kubernetes) for big data workloads.
Knowledge of CI/CD pipelines for data engineering projects.
Behavioral Skills:
Good Communication skills
5 days Work from Office at Berkley Heights NJ
Team Player
Ability to work in a changing environment
Strong problem solving and analytical skills
Ability to work independently or within a team
Manage day-to-day challenges and communicate developmental risks with the technical team
Qualifications:
Bachelors degree in computer science Software Engineering or a related field.
Proficiency in business process modeling and documentation tools.
Product implementation experience is preferred
Title: Data Engineer (Ab Initio OzoneCH Flink)/ Ab Initio Consultant Role: Streaming Data Engineer Ab Initio OzoneCH Flink Location: Berkeley Heights NJ (5 Days Onsite) Job Description: We are seeking a highly skilled resource to design and implement high-performance event-driven data pip...
Title: Data Engineer (Ab Initio OzoneCH Flink)/ Ab Initio Consultant
Role: Streaming Data Engineer Ab Initio OzoneCH Flink
Location: Berkeley Heights NJ (5 Days Onsite)
Job Description: 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:
Create complex Ab Initio continuous flow graphs including stateful joins sliding time windows and aggregations.
Implement event-driven data pipelines using Kafka MQ and file streams.
Ensure the resilience of continuous flows including checkpointing and recovery to guarantee exactly-once processing.
Apply advanced Ab Initio components (e.g. Reformat Rollup Join Partition) to ensure low-latency performance.
Proactively monitor live production streams to ensure 24/7 reliability and troubleshooting data issues
Develop ETL pipelines for batch and real-time data ingestion and transformation.
Implement and ensure data validation data security integrity and compliance across big data platforms.
Monitor and troubleshoot performance issues in large-scale clusters.
Collaborate with data scientists analysts and application teams to deliver high-quality data solutions.
Automate workflows and improve operational efficiency using scripting and orchestration tools.
Required Skills & Qualifications:
Deep understanding of credit card process system
Deep knowledge of GDE (Graphical Development Environment) EME (Enterprise Meta>Environment) Conduct>It and Continuous Flows.
Understanding of Kafka message queues and real-time stateful services.
Proficiency in Unix/Linux shell scripting SQL and database technologies (e.g. Oracle Teradata).
Experience in Java Scala Python or Kafka is plus.
Familiarity with Linux/Unix environments and shell scripting.
Understanding of data security governance and compliance standards.
Experience with cloud-based big data platforms
Exposure to containerization (Docker Kubernetes) for big data workloads.
Knowledge of CI/CD pipelines for data engineering projects.
Behavioral Skills:
Good Communication skills
5 days Work from Office at Berkley Heights NJ
Team Player
Ability to work in a changing environment
Strong problem solving and analytical skills
Ability to work independently or within a team
Manage day-to-day challenges and communicate developmental risks with the technical team
Qualifications:
Bachelors degree in computer science Software Engineering or a related field.
Proficiency in business process modeling and documentation tools.