| Data Engineer with AWS Services - Remote - (12+ Years of experience candidates only) at Remote, Remote, USA |
| Email: [email protected] |
| Hi Hope you are doing great. Please go through the below mentioned requirement and send your updated word format resume if you are interested for this requirement. Role : Data Engineer with AWS Services (12+ Years of experience candidates only) Location : Remote (EST time zone) Duration : 12 Months Rate : $58/HR on C2C only Role 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 warehouse, 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+ 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 preferred but not mandatory. Key Responsibilities & Skillsets: Common Skillsets: o Superior analytical and problem solving skills o Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision o Good communication skill for client interaction Cloud Data Engineering Skillsets: o Experience in designing, implementation, and testing of Python application with understanding of object oriented programming, multi-tier architecture, parallel/ multi-threaded programming. o Programming experience with Python is a must; Java/Scala is a nice to have o Experience with AWS technologies including AppSync, Lambda, Step Functions, Event Bridge. o Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. o Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure Synapse Analytics o Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElastiCache and DynamoDB. o Working experience with Python, and Spark is desired Experience working on Agile projects o AWS Solutions Architect or AWS Big Data Certification preferred o Ability to thrive in a high energy, high growth, fast paced, entrepreneurial environment. Willing to learn new skills and implement new technologies o Strong organizational, written and verbal communication skills with high attention to detail and the able to work independently with minimal supervision o Highly-collaborate team player who can build strong relationships at all levels of the technology and business organization. Candidate Profile: 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 Application development experience Superior analytical and problem-solving skills Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe. Thanks & Regards, Mahesh Technical Recruiter [email protected] -- Keywords: artificial intelligence machine learning sthree information technology golang |
| [email protected] View all |
| Thu Jan 25 19:03:00 UTC 2024 |