Cloud Development Engineer

Hayward, CA, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Azure data lake
  • Snowflake
  • ETL
  • data engineering

Summary

<>Overview:

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.

<>Key Responsibilities
  • 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.

Preferred Qualifications

  • 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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1cc9fd
  • Position Id: 9112211
  • Posted 5 hours ago
Contact the job poster
Param L

Param L

Talent Acquisition @ Dataflix Inc.

Create job alert
Never miss an opportunity! Create an alert based on the job you applied for.