
Cloud Data Engineer Position
2 weeks ago
About the Role:
We are seeking an accomplished professional to design, build, and maintain scalable and reliable data pipelines on AWS. This involves leading end-to-end data migration projects, ensuring data integrity, security, and performance. Additionally, you will develop and maintain APIs for seamless data access and integration across systems.
Key Responsibilities:
- Data Pipeline Development: Design and implement efficient data pipelines on AWS, utilizing services like Glue, EMR, Athena, Redshift, Lambda, and Step Functions.
- API Ecosystem Development: Develop robust APIs for data access and integration, ensuring seamless communication between systems.
- Data Migration: Lead end-to-end data migration projects, ensuring data integrity, security, and performance.
Requirements: To succeed in this challenging role, you must possess the following skills and qualifications:
Mandatory Skills:
- Python Expertise: Strong hands-on experience with object-oriented programming, reusable code design, and Python-based data workflows.
- AWS Data Migration: Proven experience in cloud data migration, developing APIs, and working with AWS Big Data services.
- SQL Programming: Strong SQL skills for data querying, optimization, and transformation.
- Snowflake Experience: Hands-on experience in Snowflake data warehousing, schema design, and performance tuning.
- DBT Knowledge: Experience in data transformation and modeling using dbt.
Nice to Have: While not mandatory, having these skills will make you an even more attractive candidate:
- CI/CD Pipelines: Familiarity with GitLab or equivalent tools for continuous integration and deployment.
- BI Tooling and Data Analytics: Exposure to reporting and dashboarding tools like Tableau, Power BI, or QuickSight.
- IaC Experience: Experience with Terraform (preferred) or CloudFormation.
- Linux and Networking Essentials: Strong command-line knowledge and understanding of networking fundamentals.
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