Jobs / Nex***
Data Engineer (Ab Initio, Flink) | Berkeley Heights, NJ (5 Days Onsite) | Contract W2 only
Nex*** · Berkeley Heights, NJ, United States
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Berkeley Heights, NJ, United States50-55 USD/hourlyHybrid
Remuneration
50-55 USD/hourly
Location
Berkeley Heights, NJ, United States
Visa sponsorship
Sponsors visa
Job summary
Job Title: Data Engineer (Ab Initio, Flink) Location: Berkeley Heights, NJ (5 Days Onsite) Duration: long term Type: Contract W2 Experience: 7+ Yrs 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.
Qualifications
- Experience: 7+ Yrs
- 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
- Bachelor's degree in computer science, Software Engineering, or a related field.
- Proficiency in business process modeling and documentation
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
Degrees
BachelorDegree
Work schedule
24/7
Industry
AutomotiveEnergyPublic-sector
Company size
EnterpriseSmb