| Hiring AWS DATA Engineer ::: Minimum 17+ years exp at Remote, Remote, USA |
| Email: roushan@amaze-systems.com |
|
https://jobs.nvoids.com/job_details.jsp?id=2308723&uid= Hi, Hope you are doing good. Below is the job description kindly go through it and please let me know if you are interested. Role: AWS Data Engineer (Minimum 17+ years exp) Location: Remote Job Descriptions: As a Senior AWS Data Engineer on the AWS Cloud team, you will be responsible for providing design and development of data ingestion pipelines from disparate data sources into the cloud. You will lead the delivery of the data products, leveraging Cloud Native strategies and best practices, drawing from 17+ years of IT experience. Must have Skills* 15 years of experience in design and delivery of Distributed Systems capable of handling petabytes of data in a distributed environment. 10 years of experience in the development of Data Lakes with Data Ingestion from disparate data sources, including relational databases, flat files, APIs, and streaming data. Experience in providing Design and development of Data Platforms and data ingestion from disparate data sources into the cloud. Expertise in core AWS Services including AWS IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail, CloudWatch. Proficiency in programming languages like Python and PySpark to ensure efficient data processing. preferably Python. Architect and implement robust ETL pipelines using AWS Glue, defining data extraction methods, transformation logic, and data loading procedures across different data sources 15 years of Experience in using IaC tools like Terraform etc. 10 years of experience in development of CI/CD pipelines (GitHub Actions, Jenkins). Experience in the development of Event-Driven Distributed Systems in the Cloud using Serverless Architecture. Ability to work with Infrastructure team for AWS service provisioning for databases, services, network design, IAM roles and AWS cluster. 2-3 years of experience working with Document DB. Ability to design, orchestrate and schedule jobs using Airflow. Knowledge of AWS AI Services like AWS Entity Resolution, AWS Comprehend. Ability to run custom LLMs using Amazon SageMaker. Ability to use Large Language Models (LLMs) for Data Classification and Identification of PII data entities Nice to have Skills: 10 years of experience in the development of Data Audit, Compliance and Retention standards for Data Governance, and automation of the governance processes. Experience in data modelling with NoSQL Databases like Document DB. Experience in using column-oriented data file format like Apache Parquet, and Apache Iceberg as the table format for analytical datasets. Kumar Roushan | Talent Acquisition Specialist Amaze Systems Inc USA: 1455 NW, Leary Way, Ste 400, Seattle, WA 98107 Canada: 55 York Street, Suite 401, Toronto, ON M5J 1R7 E: roushan@amaze-systems.com | www.amaze-systems.com/ Amaze Systems is an Equal Opportunity Employer (EOE), and does not discriminate based on age, gender, religion, disability, marital status, race and also adheres to laws relating to non-discrimination on the basis of national origin and citizenship status. -- Keywords: continuous integration continuous deployment artificial intelligence sthree database information technology golang Washington Hiring AWS DATA Engineer ::: Minimum 17+ years exp roushan@amaze-systems.com https://jobs.nvoids.com/job_details.jsp?id=2308723&uid= |
| roushan@amaze-systems.com View All |
| 09:05 PM 02-Apr-25 |