Software Data Engineer
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Role details
Tech stack
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Job description
- Design and implement serverless data pipelines using AWS services.
- Build and maintain data lakes, ETL/ELT workflows, and data catalogs.
- Develop and maintain automated CI/CD pipelines and Infrastructure as Code (AWS
- CDK/CloudFormation).
- Ensure compliance with data governance, security, and quality standards.
- Collaborate with data science teams to deliver accessible and reliable data solutions.
- Mentor junior engineers, promote knowledge sharing, and champion best practices.
Key Metrics of Success
- High client satisfaction and quality feedback.
- Scalable, secure, and high-performing data solutions delivered on time.
- Reduction in deployment errors and faster delivery cycles through automation.
- Active contribution to team knowledge-sharing and continuous learning.
Requirements
We are looking for a Senior Software Data Engineer - Python– to design, build, and optimize
cloud-based, serverless data pipelines and infrastructures. You will leverage your expertise in
Python, SQL, AWS, and Infrastructure as Code to deliver scalable and secure data solutions.
This role is ideal for someone with strong collaboration skills, a passion for innovation, and
proven experience working with large-scale, enterprise-level projects., Minimum Requirements _ PLEASE INDICATE YEARS OF EXPERIENCE IN YOUR RESUME
- 5+ years of development experience in Python.
- Strong expertise in AWS cloud services (Lambda, S3, Glue, Athena).
- Experience with Infrastructure as Code (AWS CDK/CloudFormation).
- Solid foundation in ETL/ELT processes, data modeling, and pipeline design.
- Excellent written and verbal English communication skills.
Preferred
- Experience with AWS Lake Formation, AWS Datazone, EventBridge, Step Functions.
- CI/CD pipeline implementation and API integration experience.
Soft Skills
- Strong problem-solving and analytical abilities.
- Effective communicator across technical and non-technical teams.
- Proactive, accountable, and adaptable in dynamic environments.
- Curiosity and passion for continuous learning and innovation.
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Skills: AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Automation, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Customer Satisfaction, Data Management, Data Modeling, Data Processing, Data Science, Database Extract Transform and Load (ETL), English Language, Information/Data Security (InfoSec), Maintain Compliance, Metrics, Presentation/Verbal Skills, Problem Solving Skills, Process Modeling, Python Programming/Scripting Language, Quality Metrics, SQL (Structured Query Language), Software Engineering, Team Player, Time Management, Writing Skills
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