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Data Architect
Data ArchitectNoblesoft Technologies • Fremont, California, USA
Data Architect

Data Architect

Noblesoft Technologies • Fremont, California, USA
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  • [job_card.full_time]
[job_card.job_description]

Title : Data Architect

Location : Fremont CA

Mandatory Skill : Splunk PowerShell or Python Alerts & Logs Monitoring Confluence and SharePoint

Experience Requirements :

  • 12 years of IT experience in the Development / Architecture Role
  • 5 years of Proven experience in Data Engineering and architecture roles.(with Azure Data Factory Azure Databricks & PySpark Azure Synapse and Azure SQL) .

Qualifications :

  • Bachelors or masters degree in computer science Engineering or a related field.

    • Key Skills : Azure Data Factory (ADF) Azure Databricks & PySpark Azure Synapse Azure SQL Python and Spark SQL

    Skill Requirements :

  • Strong Experience with ETL / ELT tools like ADF Informatica Talend etc. and data warehousing technologies like Azure Synapse Azure SQL Amazon redshift Snowflake Google Big Query etc.
  • Strong hands-on experience with A zure Data Factory (ADF) for data orchestration (for building and managing pipelines) Azure Databricks for big data processing and analytics and Apache Spark for distributed data processing).
  • Adept in with big data tools (Databricks Spark etc..)
  • Experience with Power BI Tableau / OBIEE etc.
  • Proficiency in PySpark Python and Spark SQL .
  • Experience with CI / CD pipelines for data platforms.
  • Solid understanding of data warehouse best practices development standards and methodologies ..
  • Strong expertise in SQL and relational data modeling.
  • Experience designing data lakes data warehouses or Lakehouse architectures .
  • Good understanding of data governance metadata management and security best practices.
  • Solid understanding of distributed data processing and performance tuning.
  • Experience with ETL / ELT patterns and best practices.
  • Strong analytical problem-solving skills and ability to work in a fast-paced dynamic environment.
  • Excellent communication and documentation skills.

    • Key Responsibilities :

  • Design and implement end-to-end data architecture for batch and real-time data processing to implement enterprise-grade data solutions using Azure and Microsoft Fabric.
  • Design build and optimize ETL / ELT pipelines for ingestion transformation and publishing using ADF Spark and Databricks .
  • Architect and optimize data pipelines using Azure Data Factory (ADF).
  • Develop and manage scalable data processing frameworks using Databricks and Apache Spark .
  • Develop efficient data transformation logic using PySpark and Spark SQL.
  • Build reusable high-performance data models for analytics and reporting.
  • Develop and maintain data ingestion transformation and orchestration workflows.
  • Ensure data quality consistency security and governance across platforms.
  • Define and enforce data engineering best practices including CI / CD versioning testing and monitoring.
  • Mentor and guide data engineers fostering a culture of innovation and excellence.
  • Collaborate with data engineers analysts data scientists and business stakeholders.

    • Nice to Have :

  • DevOps & CI / CD : Azure DevOps GitHub Actions Jenkins

    • Real-time streaming (Azure Event Hubs Kafka) Microsoft Fabric

    Key Skills

    Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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