
Advanced Data Solutions Architect
3 days ago
We are seeking a Cloud Data Engineer to join our team and contribute to the development of our advanced analytics practice.
The successful candidate will be responsible for designing and developing data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
Key Responsibilities:
- Analyze existing data warehouse implementations to support migration and consolidation efforts.
- Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
- Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
- Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform.
To succeed in this role, you will need:
- Strong knowledge of cloud data platforms, including AWS and Databricks.
- Experience with data warehousing, ETL, and data governance.
- Excellent analytical and problem-solving skills.
- Ability to work collaboratively as part of a cross-functional team.
- Strong communication and interpersonal skills.
As a member of our team, you can expect:
- A competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
- Recognition and reward for outstanding performance.
Join us and take advantage of:
- State-of-the-art technology and infrastructure.
- Continuous learning and training opportunities.
- Flexible working arrangements and work-life balance.
- Access to a range of employee discounts and perks.
If you're passionate about data engineering and want to make a real impact, please submit your application today
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