
Cloud Data Solutions Expert
2 days ago
Our ideal candidate will be an expert in designing, building, and maintaining data pipelines to ingest, transform, and load data from various sources into the cloud platform.
Key Responsibilities:
- Develop conceptual, logical, and physical data models for data warehouses and data lakes using star schema, snowflake schema, and other data modeling techniques.
- Manage data storage and organization within the cloud, ensuring proper folder structures, security, and data lifecycle management for raw, processed, and curated data zones.
- Utilize tools like dbt (data build tool) to transform raw data into analytics-ready datasets, writing complex SQL queries and stored procedures to cleanse, enrich, and aggregate data.
- Integrate and work with a variety of cloud services, including Synapse Analytics, Databricks, Functions, and Cosmos DB, to build a comprehensive data solution.
- Implement and optimize Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to ensure data is moved efficiently and accurately.
- Implement and maintain data security best practices, applying Role-Based Access Control (RBAC), managed identities, and Azure Key Vault to protect sensitive data.
- Monitor and optimize the performance of data pipelines, queries, and data warehouse solutions, fine-tuning data structures and processing logic to improve efficiency and reduce costs.
Requirements:
- 4+ years of proven experience with key cloud data services, including Azure Data Factory, Synapse Analytics, and Databricks.
- Strong proficiency in SQL and at least one programming language such as Python or Spark (PySpark, Scala).
- Solid understanding of data warehousing principles, data modeling (dimensional modeling, etc.), and ETL/ELT concepts.
- CI/CD: Experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.
- Ability to work effectively with cross-functional teams, including data scientists, business analysts, and product owners, to understand requirements and deliver data solutions.
- Excellent analytical and problem-solving skills with a focus on delivering high-quality, reliable data solutions.
- Strong verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders.
What We Offer:
- A challenging and rewarding role in a fast-paced environment.
- Opportunities for growth and professional development.
- A collaborative and supportive team culture.
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