What are the responsibilities and job description for the Data Engineer - MDM* W2 Role position at Kellton?
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
Job Title: MDM Data Engineer
Location: Charlotte, NC Remote
Duration: Long term Contract
Responsibilities:
We are seeking a hands-on, collaborative Master Data Management (MDM) Data Engineer to join our data platform team. This role involves designing and implementing scalable, cloud-native data architectures and solutions across AWS. You ll work closely with data engineers, developers, and business stakeholders to manage data pipelines from ingestion to modeling, while also building APIs to support analytics, reporting, and business intelligence.
Our technology stack centers around Python and AWS, leveraging services such as S3, PostgreSQL, DynamoDB, Athena, Snowflake, Redshift, Lambda, and Glue. Familiarity with modern data stack technologies, DevOps, and data security best practices is a strong advantage.
Key Responsibilities:
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
Build and maintain ETL/ELT workflows using AWS Glue, Lambda, and Python to support a variety of data integration needs.
Develop, deploy, and optimize APIs to enable seamless data access for business intelligence, analytics, and operational systems.
Analyze, debug, and resolve data quality issues and pipeline failures to ensure data accuracy and reliability.
Collaborate across teams including data science, analytics, and software engineering to design and implement reusable data models.
Ensure efficient, scalable, and secure serverless operations through performance tuning and best practices in AWS environments.
Create and maintain documentation, architecture diagrams, and data flow maps for internal and external use.
Implement and manage data governance, security protocols, compliance standards, and privacy best practices.
Incorporate AI tools, such as ChatGPT, to streamline engineering tasks, documentation, and data exploration.
Lead integration efforts with third-party APIs and data sources to expand the organization s data capabilities.
Establish and enforce architectural best practices, CI/CD pipelines, and Infrastructure as Code (IaC) in collaboration with DevOps teams.
Mentor team members, stay current with AWS innovations, and champion modern data practices across the organization.
Qualifications:
Bachelor s degree in computer science, Information Systems, Analytics, or related field.
5 years of experience in data architecture, engineering, or similar roles.
3 years of hands-on programming experience with Python.
3 years of experience building and managing ETL/ELT data pipelines.
Strong SQL skills and ability to write performant queries across various data stores.
Proficient with AWS services: Lambda, Glue, S3, DynamoDB, Athena, Redshift, and Snowflake.
Solid understanding of OLTP, ODS, and dimensional modeling techniques.
Experience designing APIs and integrating with API-driven data workflows.
Strong knowledge of serverless architecture patterns and best practices.
Excellent problem-solving, analytical, and communication skills.
Experience in agile development environments with CI/CD workflows.
Ability to collaborate across engineering, data, and business teams.
Preferred Skills:
AWS Certifications (e.g., AWS Solutions Architect).
Experience with modern data stack tools such as dbt, Snowflake, Databricks.
Familiarity with machine learning pipelines and AI-driven analytics.
Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
Background in DevOps and automated deployment strategies for data workflows.
Experience integrating with ServiceNow application.
Apply: Interested candidates can apply with their detailed word formatted resume along with their contact information\availability to Govind(dot)nikhil AT kellton.com, Phone 63.0 68. 9. 29. 60 (-1062-)
Thanks for all your time!