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About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data Engineer – data modernization (Data Lake)

Job Description

Location: Warren, NJ
Type: Right to Hire
Job #72886

Our client, a leading reinsurance company is hiring a Data Engineer on a contract basis.

Work Location:

Warren, NJ

Summary:

The client is seeking a Data Engineer to aid in driving the execution of our Global Data Strategy. In this highly visible position, you will apply strong technical acumen and leadership in partnership with business counterparts to effectively define, plan and deliver technical solutions that support business outcomes in service to strategy. This is a role that will provide an opportunity to be a strong engineering leader across the organization.

Responsibilities:

Partner and work collaboratively with internal customers to understand strategic analytics and business intelligence needs and the associated enabling technology requirements.
Assist in delivering data & analytics to enable a modern cloud-based data environment and the best practices, governance, and controls to support the broad adoption and use across the enterprise
Deliver enabling capability to support the rapid ingestion of new data and the timely deployment of advanced analytic models into production
Support the development of engineering capabilities that promotes sharing, inner sourcing and reuse of code, capabilities and methods in a cloud-first environment that leverages highly automated DevOps tools and capabilities
Accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity

Required Qualifications:

Bachelor’s degree in computer science or engineering
2+ years in the data engineering space with deep experience delivering enhanced analytic and data access capabilities
2+ years of experience in Big Data Technologies
Experience with Cloud-based technologies (MS Azure)
Experience with advanced functional programming (Scala, Python)
Knowledge of Azure cloud and Data Lake preferred
Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy

Preferred Skills:

Experience with Cloud-based technologies (Spark, Kafka, Databricks)
Direct experience with Machine Learning techniques (Deep Learning, Sentiment Analysis, Random Forest/Decision Tree modelling)
Productionize analytical data products by deploying them in cloud-based platforms using CI/CD tools
Collaborate in an agile team structure to design, develop, test, implement, and support technical solutions in full stack development technologies using Jira
Knowledge or experience within the Insurance or Financial Services Industry

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