Remote AWS Lambda contract jobs

· AWS Lambda

· NodeJS

· Java Core Experience

· Angular (Or React.js, Vue.JS, JavaScript)

· DynamoDB or MongoDB

· AWS API Gateways

Job Type: Contract

Experience:

• DynamoDB or MongoDB: 2 years (Required)
• Java Fullstack Developer : 6 years (Required)
• NodeJS: 2 years (Required)
• Angular (Or React.js, Vue.JS, JavaScript): 2 years (Required)
• Java Core : 3 years (Required)
• AWS API Gateways: 2 years (Required)
• AWS Lambda: 2 years (Required)

Work Remotely:

• Yes

*

Role Overview: Remote, client-facing role. Hands-on API development position, with Lambda experience, Python & JavaScript expertise and GraphQL experience. we need strong developers with a Healthcare/Pharma background, that can thrive in a client-facing environment.

Responsibilities:

Design, develop, test and deploy the API solution

Ensure quality deliverables following the defined API standards

Escalate issues as appropriate

Framework deliverables for the sprint and estimate time and effort

Perform life cycle management of API's

Experience:

Bachelor’s Degree in Computer Science or equivalent experience

5+ years of strong software development experience

AWS Lambda experience

Python and JavaScript programming expertise

GraphQL experience

Strong understanding of various API development environments

Working knowledge of automating CI/CD pipelines

Strong understanding of data structures and integration patterns

Microservice based architecture exposure would be a plus

Job Type: Contract

Pay: $60.00 - $70.00 per hour

Schedule:

• 8 Hour Shift
• Monday to Friday

Experience:

• API: 5 years (Required)

Contract Renewal:

• Likely

Work Remotely:

• Yes

• US Citizen
• 10-15 years of related experience
• 5 years overall experience with AWS
• 2 years experience with DevOps style scripting using Terraform, Ansible, or various built-in AWS tools like Elastic Beanstalk.
• 2 years with AWS EC2/VPC, RDS, S3,
• 2 years of AWS CLI
• 2 years of AWS Lambda Development
• 2 years of AWS Core Capabilities (CloudWatch, CloudTrail, SNS, SQS, Dynamo DB).
• 2 years of AWS IAM and Policy Development

• Current AWS Certified Solution Architect Certification (Associate or Professional)
• Familiarity with the DoD CIO DevSecOps Reference Architecture and CI/CD pipelines.
• AWS Cost Explorer and Cost Optimization
• Kubernetes Istio, Flannel, or other CNCF service mesh offerings used within a Kubernetes environment.
• 2 years of Python and/or bash scripting
• 1 year of containerization/containers

As a Senior Big Data Engineer, you will develop new data engineering
patterns that leverage new cloud architectures, and will extend or
migrate existing data pipelines to the architectures as needed.
You will be responsible for designing and implementing the complex ETL
pipelines in Big data platform and other BI solutions to support the
rapidly growing and dynamic business demand for data, and use it to
deliver the data as service which will have an immediate influence on
day-to-day decision making at Amazon.com

BASIC QUALIFICATIONS
This position requires a Bachelor's Degree in Computer Science or a
related technical field, and 5+ years of meaningful employment
experience.

· 5+ years of relevant work experience in Big data engineering, ETL,
Data Modeling, and Data Architecture.
· Expert-level skills in writing and optimizing SQL.
· Experience with Big Data technologies such as Hive/Spark, AWS EMR,
AWS Glue, AWS Lambda and Kinesis.
· Proficiency in one of the scripting languages - python, ruby, java or similar.
· Experience operating very large data warehouses, data lakes and
building streaming data pipelines.
· Proven interpersonal skills and standout colleague.
· A real passion for technology. We are looking for someone who is
keen to demonstrate their existing skills while trying new approaches.

PREFERRED QUALIFICATIONS
· Master’s or Bachelor degree in Computer Science, Engineering, or related field
· Authoritative in ETL optimization, designing, coding, and tuning big
data processes using Apache Spark or similar technologies.
· Experience with building data pipelines and applications to stream
and process datasets at low latencies.
· Demonstrate efficiency in handling data - tracking data lineage,
ensuring data quality, and improving discoverability of data.
· Sound knowledge of distributed systems and data architecture
(lambda)- design and implement batch and stream data processing
pipelines, knows how to optimize the distribution, partitioning, and
MPP of high-level data structures.
· Knowledge of Engineering and Operational Excellence using standard
methodologies.

Job Types: Temporary, Contract

Pay: $100,239.00 - $131,000.00 per year

Schedule:

• Monday to Friday

Experience:

• AWS: 3 years (Preferred)
• bigdata: 3 years (Preferred)
• etl: 2 years (Preferred)

Contract Length:

• 1 year

Full Time Opportunity:

• No

Work Location:

• Fully Remote