MDM Python (AWS) Developer -
MDM Python (AWS) Developer -
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Job Description
*Contract-to-Hire Opportunity*
Lighthouse Technology Services is partnering with our client to fill their Senior MDM Python (AWS) Developer position! This is a 6 month contract-to-hire opportunity. This role can be remote in the United States with some travel to Charlotte NC required. This role will be a W2 employee of Lighthouse Technology Services.
Position Overview
The Data Architect / Engineer will be responsible for designing and implementing robust scalable and high-performing data solutions on AWS. You will work closely with data engineers software developers and business stakeholders to ensure our cloud data infrastructure meets the needs of our growing organization. Were currently a Python and Angular/TypeScript tech stack team and use a range of AWS services like S3 PostgreSQL DynamoDB Athena Snowflake Lambda and Glue.
What Youll Be Doing:
- Define build test and implement scalable data pipelines.
- Design and implement cloud-native data architectures on AWS including data lakes data warehouses and real-time data processing pipelines.
- Perform data analysis required to troubleshoot data-related issues and assist in their resolution.
- Collaborate with development analytics and reporting teams to develop data models that feed business intelligence tools.
- Design and build API integrations to support the needs of analysts and reporting systems.
- Develop deploy and manage AWS Lambda functions written in Python.
- Develop deploy and manage AWS Glue jobs written in Python.
- Ensure efficient and scalable serverless operations.
- Debug and troubleshoot Lambda functions and Glue jobs.
- Collaborate with other AWS service teams to design and implement robust solutions.
- Optimize data storage retrieval and pipeline performance for large-scale distributed systems.
- Ensure data security compliance and privacy policies are integrated into solutions.
- Develop and maintain technical documentation and architecture diagrams.
- Stay current with AWS updates and industry trends to continuously evolve the data architecture.
- Mentor and provide technical guidance to junior team members and stakeholders.
What Youll Need to Have:
- Bachelors degree in Computer Science Information Systems Analytics or a related field.
- 5 years of experience in data architecture engineering or similar roles.
- 3 years of programming with Python.
- 3 years in an ETL or Data Engineering role building and implementing data pipelines.
- Experience working in a Master Data Management role is IDEAL.
- Strong understanding of design best practices for OLTP systems ODS reporting needs and dimensional database practices.
- Hands-on experience with AWS Lambda AWS Glue and other AWS services including SQS and SNS.
- Proficient in Python and SQL with the ability to write efficient queries.
- Experience with API-driven data access (API development experience a plus).
- Solid experience with database technologies (SQL NoSQL) and data modeling.
- Understanding of serverless architecture benefits and challenges.
- Experience working in agile development environments.
- Highly self-motivated detail-oriented and able to work independently.
- Strong analytical thinking problem-solving and communication skills.
- AWS certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) are highly desirable.
Preferred Skills:
- Experience with modern data stack technologies (e.g. dbt Snowflake Databricks).
- Familiarity with machine learning pipelines and AI-driven analytics.
- Background in DevOps practices and Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.
- Knowledge of CI/CD pipelines for data workflows.
Pay Range: $60$68/hr
Questions about any of our jobs Email us at
Employment Type
Hourly
