
AWS Cloud Data Specialist
2 weeks ago
Job Overview
We are seeking a highly skilled AWS data engineer with strong expertise in Python development and cloud-based data solutions. The ideal candidate will have a solid background in data migration, API ecosystem development, and modern data warehousing practices.
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.
Required Skills and 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.
- Python OOP and Development Experience (7+ years) - Strong hands-on experience with object-oriented programming, reusable code design, and Python-based data workflows.
- AWS Data Migration and API Developer Ecosystem (4+ years) - Proven experience in cloud data migration, developing APIs, and working with AWS Big Data services (e.g., Glue, EMR, Athena, Redshift) and serverless offerings (e.g., Lambda, Step Functions).
- SQL Programming (3+ years) - Strong SQL skills for data querying, optimization, and transformation.
- Snowflake (2+ years) - Hands-on experience in Snowflake data warehousing, schema design, and performance tuning.
- DBT (1+ years) - Experience in data transformation and modeling using dbt.
Nice to Have
- 6. CI/CD Pipelines - Familiarity with GitLab or equivalent tools for continuous integration and deployment.
- 7. BI Tooling and Data Analytics - Exposure to reporting and dashboarding tools (e.g., Tableau, Power BI, QuickSight).
- 8. Infrastructure as Code (IaC) - Experience with Terraform (preferred) or CloudFormation.
- 9. Linux and Networking Essentials - Strong command-line knowledge and understanding of networking fundamentals.
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