Cloud Data Development Engineer
DataFlix Inc.
Hayward, United States
29 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Microsoft Azure
Cloud Database
Continuous Integration
Information Engineering
Data Governance
Data Integration
Extract Transform Load (ETL)
Data Transformation
Data Systems
Data Warehousing
DevOps
+19 more
Dimensional Modeling
Python (Programming Language)
Performance Tuning
DataOps
Azure Data Lake
Data Streaming
Data Processing
Data Storage Technologies
Azure Data Factory
Snowflake
Data Build Tool (dbt)
Apache Spark
Pyspark
Apache Kafka
Data Management
Azure Synapse Analytics
Software Version Control
Data Pipelines
Databricks
Job description
We are seeking a Cloud Data Development Engineer with strong expertise in Snowflake, DBT, and Azure Data Services to design, develop, and optimize modern cloud-based data solutions. The ideal candidate will have hands-on experience building scalable data pipelines, data transformation frameworks, and analytics-ready data platforms. Experience in the Financial Services industry is highly preferred., * Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, DBT, and Azure services.
- Build and optimize data models, data transformations, and data integration workflows.
- Develop and support cloud-native data solutions leveraging Azure Data Factory, Azure Data Lake, Azure Synapse, and related Azure services.
- Optimize Snowflake performance, data storage, and query efficiency.
- Collaborate with business stakeholders, data architects, and analytics teams to understand data requirements and deliver solutions.
- Implement data quality, validation, monitoring, and governance processes.
- Support CI/CD deployment activities and follow best practices for code management and automation.
- Troubleshoot production issues and ensure reliable data operations.
Requirements
- 7-8 years of experience in Data Engineering and Cloud Data Development.
- Strong hands-on experience with Snowflake.
- Strong experience with DBT (Data Build Tool).
- Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and other Azure services.
- Strong SQL development and performance tuning skills.
- Experience building and supporting ETL/ELT solutions.
- Working knowledge of Python for data engineering tasks.
- Understanding of data warehousing concepts, dimensional modeling, and data integration patterns.
- Experience with Agile development methodologies., * Financial Services or Banking domain experience.
- Experience with Databricks, PySpark, or Spark-based data processing.
- Exposure to DevOps/CI-CD practices and source control tools.
- Snowflake or Azure certifications are a plus.
Nice to Have
- Kafka or streaming data experience.
- Data governance and data quality implementation experience.
- Experience working in large-scale cloud modernization or migration initiatives
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