About the job Data Engineer - AWS
OUR CLIENT
Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
ROLE
We are seeking 2 Data Engineers with 5-8 years of experience in developing enterprise-level applications on the AWS platform.
OVERVIEW
The person will be part of the CDO for a major Insurance client. He/ She will work with different stakeholders for architecting & Building enterprise data solutions to support clients' data requirements. This application would be architected using Micro Services Architecture to support different workloads like Data marts, Data warehouses, and AI/ML. The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion
A suitable candidate should have 5-8 years of experience in developing enterprise-level applications and should possess a go-getter attitude. He/ She should be able to deal with ambiguity. Experience in life insurance is preferred but not mandatory.
KEY RESPONSIBILITIES & SKILLSETS:
- Common Skillsets:
- Superior analytical and problem-solving skills
- Should be able to work on a problem independently and prepare client-ready deliverables with minimal or no supervision
- Good communication skills for client interaction
- Cloud Data Engineering Skillsets:
- Experience in designing, implementing, and testing Python applications with an understanding of object-oriented programming, multi-tier architecture, and parallel/ multi-threaded programming.
- Programming experience with Python is a must; Java/Scala is nice to have
- Experience with AWS technologies including AppSync, Lambda, Step Functions, and Event Bridge.
- Solid experience in AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, etc.
- Knowledge of modern cloud-native data warehouses i.e., AWS Redshift, Snowflake, or Azure Synapse Analytics
- Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElastiCache and DynamoDB.
- Working experience with Python and Spark is desired Experience working on Agile projects
- AWS Solutions Architect or AWS Big Data Certification preferred
- Ability to thrive in a high-energy, high-growth, fast-paced, entrepreneurial environment. Willing to learn new skills and implement new technologies
- Strong organizational, written, and verbal communication skills with high attention to detail and the ability to work independently with minimal supervision
- Highly-collaborate team player who can build strong relationships at all levels of the technology and business organization.
- Bachelors/Master's degree in computer science/engineering, operations research, or related analytics areas welcome to apply
- 5+ years experience in AWS data engineering, preferably in Life Insurance but not mandatory
- Preferably located in the New Jersey area (US EST Considered)
- 100% hands-on role
- 3 rounds of interviews including a live coding exercise
- Start date: Immediately
- Duration: 12+ months
- Type: Contract