*Data Engineer" - (15+ Years of experience is Must)

*Data Engineer" - (15+ Years of experience is Must)

Posted 1 week ago by 1755150928

Negotiable
Outside
Remote
USA

Summary: Kellton Tech is seeking a Senior Data Engineer for a long-term remote contract position, focusing on software engineering excellence and advanced data analytics within an AWS microservices environment. The role involves designing and implementing cloud technologies, developing automated tests, and mentoring team members. Candidates should have extensive experience in software development, particularly with SQL and AWS services, and possess strong analytical and communication skills. This position emphasizes collaboration with various stakeholders to deliver high-quality software solutions.

Key Responsibilities:

  • Incorporate Cloud technologies on new application development including microservices, SQL, and AWS services.
  • Create and maintain automated functional and system tests.
  • Develop code and test automation suite for security features and technical scoping.
  • Ensure continuous integration on application source code and enhance methods for high-quality code.
  • Support and coordinate with Engineers, Architects, and other teams.
  • Implement cloud-first architectural solutions and best practices.
  • Participate in agile scrum ceremonies and contribute to team deliverables.
  • Participate in peer reviews of software engineering artifacts.
  • Mentor team members and technical staff by providing feedback on code and design artifacts.

Key Skills:

  • 6+ years of software development experience in a production environment.
  • Expertise in writing and optimizing complex SQL queries.
  • Experience integrating Redshift Serverless with AWS services.
  • Expertise in building serverless ETL pipelines with Lambda.
  • Experience with Python; knowledge of React and Node.js is a plus.
  • Experience building event-driven cloud-based serverless applications.
  • Technical knowledge of Cloud Computing, DevOps, and Microservices.
  • Excellent communication skills.
  • Proficient in designing and deploying machine learning models using Amazon SageMaker.
  • Able to prioritize and execute tasks in a high-pressure environment.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Kellton Tech is a full-service software development company, offering end-to-end IT solutions, strategic technology consulting and product development services in Web, SMAC (Social, Mobile, Analytics, Cloud), ERP-BPM, and IoT space Our methodology of inventing infinite possibilities with technology helps us develop best in-class and cost effective solutions for our clients.

Currently Kellton Tech is looking for talented resources for one of our listed client. Below are the position details:

Position: Senior Data Engineer

Location: 100% Remote, working core EST hours

Duration: Long Term Contract

About the Opportunity

As a Data Engineer, you possess an unwavering passion for excellence in Software Engineering and a drive to transform that passion into consistent excellence in product development. You are customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. You will partner with Product Owners, Architects, Developers, and other Software Engineers to help design, define, implement functional features, conduct system level validation and verify features of product development. You have an aptitude for learning and will apply this to implement advanced software engineering practices in Data Analytics within our AWS, Microservices environment to solve complex problems with a mission to release high quality software that is resilient and optimally performing. You will engage in both data and analytics reports development and quality engineering, testing and automation as a data engineer.

In this role, you will:

Design & Implementation (70%)

Incorporate Cloud technologies on new application development to include microservices, SQL and AWS services such as Lambda, S3, SQS, SNS, DynamoDB, Quicksight, AWS Redshift, Opensearch, and SageMaker AI

Create and maintain automated functional and system tests to replicate complex real-world scenarios

Develop code and our test automation suite to support security features and technical scoping, ensuring that features deliver the expected functionality with high quality

Ensure that continuous integration is performed on the application source code and constantly seek to enhance the continuous integration methods of the development team to ensure extremely high quality of code

Support and coordinate with other Engineers, Architects and teams such as User Experience and/or infrastructure teams

Strategy & Communication (20%)

Implement cloud-first architectural solutions and best practices

Participate in agile scrum ceremonies (Sprint Planning, Grooming, Daily SCRUM, Demo) and contribute to team deliverables

Participate in peer reviews of software engineering artifacts

Team Coordination (10%)

Mentor team members by designing and developing training materials to communicate the current and future product architecture

Mentor technical staff by providing feedback of code and other design artifacts

About You

You have:

Ideally 6+ years of software development experience in a production environment

Expertise writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions)

Expertise integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, DynamoDB and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards

Expertise building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift

Experience with Python required; React and Node.js nice to have

Experience building event-driven cloud-based serverless applications and deploying to AWS

Technical knowledge of Cloud Computing, DevOps, and Microservices

Excellent communication skills with the ability to present ideas in business-friendly and user-friendly language

Demonstrated ability to develop and maintain good customer working relationships

Exceptional analytical, conceptual, and problem-solving abilities

Proficient in designing, building, and deploying machine learning models using Amazon SageMaker

Able to prioritize and execute tasks in a high-pressure environment

Apply: Interested candidates can apply with their detailed word formatted resume along with their contact information\availability to raj DOT sekhar AT Kellton DOT com

- 7.0.3.5.92.9.15.7

Thanks for all your time!