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New!
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Splunk PowerShell or Python Alerts & Logs Monitoring Confluence and SharePoint
JD
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