Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at

Title: Data Engineer/Developer
Location: New Castle, DE 19720
Duration: 12 months potential extension or direct employment conversion
Worksite Location: Hybrid - Remote and Onsite 3 days a week
Job Description:

• Looking for Hard Core Spark/Scala/Java/HDFS candidates. Strong academic record, ideally with a good degree in a mathematical or scientific background.
• This role is for a Data Engineering Lead to work on the Big Data Platform.
• The team is responsible for the maintenance and development of leading Big Data initiatives and use cases providing business value.

Job Background/context:

• The Big Data platform supports operational real-time event-based processing and compute applications as well as analytics consumption use cases including machine/deep learning.

The technology team is responsible for building and maintaining a multitude of applications including:

• Real-time ingestion/stream processing and data distribution via Big Data APIs
• Build out canonical models and data conformance
• Implement best in class data management and data ingestion.
• Leverage new storage engines like Kudu that enables analytics on fast changing data
• Leverage GPU implementation to enable advanced Machine Learning
• Enhance Self-Service capability for data science and ML practitioners.
• This is a hands-on development role that will offer exposure to the full development cycle, whilst working closely with our business and technology stakeholders.
• Analysis and development across Lines of business including Payments, Digital Channels, Liquidities, Trade
• Cross train and fertilize functional and technical knowledge,
• Align to Engineering Excellence Development principles and standards.
• Promote and increase our Development Productivity scores for coding
• Fully adhere to and evangelize a full Continuous Integration and Continuous Deploy pipeline.

Development Value:

• This role would open career opportunities for the successful individual to establish their profile in the Data Innovation and Architecture organization.
• It provides an opportunity in Institutional Client banking to work closely with the business to provide value-added data solutions.

Knowledge/Experience (Must):

• 10 years of experience in Hadoop/big data technologies.
• Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event-based messaging.
• Relational and NoSQL database integration and data distribution principles experience
• Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
• Experience with API development and use of JSON/XML/Hypermedia data formats.
• Strong development/automation skills
• Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
• 5 years of hands-on experience as a Scala developer (with a previous Java background)

Knowledge/Experience (Preferred):

• Experience in Core Banking functionality for generating various hand-offs
• Experience with containerization and related technologies (e.g. Docker, Kubernetes)
• Comprehensive knowledge of the principles of software engineering and data analytics
• Knowledge of agile(scrum) development methodology is a plus
• Cloudera/Hortonworks/AWS EMR, S3 experience a plus

Qualifications:

• Strong academic record, ideally with a Bachelor's degree in Engineering/mathematical or scientific background.
• Strong Communication skills
• Self-Motivated
• Willingness to learn.
• Excellent planning and organizational skills

About us:
At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.

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