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Cloud-Optimized Senior Data Scientist
2 weeks ago
Data Engineer - Job Overview
">We are seeking an experienced Data Engineer with a strong background in cloud-based data solutions and Python development. The ideal candidate will have expertise in building, optimizing, and maintaining scalable data pipelines and ensuring smooth integration across platforms.
">Core Requirements
">- Mandatory Skills:
- 7+ years of hands-on experience with object-oriented programming and reusable code design.
- 4+ years of proven experience in cloud data migration and developing APIs using AWS Big Data services and serverless offerings.
- 3+ years of strong SQL skills for data querying, optimization, and transformation.
- 2+ years of hands-on experience in Snowflake data warehousing and schema design.
- 1+ year of experience in data transformation and modeling using dbt.
Nice to Have:
">Familiarity with GitLab or equivalent tools for continuous integration and deployment (CI/CD Pipelines).
">Exposure to reporting and dashboarding tools (e.g., Tableau, Power BI, QuickSight) (BI Tooling and Data Analytics).
">Experience with Terraform (preferred) or CloudFormation (Infrastructure as Code).
">Key Responsibilities:
">- Design, build, and maintain scalable and reliable data pipelines on AWS.
- Lead end-to-end data migration projects ensuring data integrity, security, and performance.
- Develop and maintain APIs for seamless data access and integration across systems.
- Collaborate with data analysts, BI teams, and stakeholders to deliver optimized data models and analytics solutions.
- Implement dbt models to support data transformation and standardization.
- Ensure code quality, version control, and deployment practices using CI/CD pipelines.
- Contribute to infrastructure automation and monitoring for data platforms.
Qualifications:
">- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Strong problem-solving skills with attention to detail.
- Excellent communication and collaboration skills to work across technical and business teams.