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• Data Pipeline Development: Design and implement data ingestion, integration, and transformation pipelines
• Cloud Architecture: Build scalable data structures using Azure services and cloud-native tools
• DevOps Management: Manage CI/CD pipelines and support automated deployments
• Data Engineering: Develop solutions using Azure ADF, ADLS, Databricks, SQL, and SAP Data Services
• System Design: Architect Data as a Service frameworks across enterprise systems
• Collaboration: Work with analysts, architects, and business stakeholders for requirements gathering
• Infrastructure Development: Support cloud and edge-based data infrastructure
• Performance Optimization: Ensure scalability, reliability, and efficiency of data systems
• Analytics Support: Enable data availability for reporting and analytics teams
• Continuous Improvement: Enhance data engineering processes and automation practices
Job ID: 146458289
Skills:
Java, Data Modelling, Google Cloud Platform, Ssrs, RESTful API development, Tableau Server, SSIS, Apache Nifi, Apache Airflow, Ssas, Apache Kafka, Agile, Tableau Desktop, Microsoft Azure, Tsql, Python, AWS, Microsoft SQL Server BI, Cloud Platforms, Master Data Services, Snowflake Cloud Data Warehouse
Skills:
Python, Databricks, AWS, Java, Pyspark
Skills:
data engineering , Machine Learning & AI, Sql, python, SAS/SPSS
Skills:
Devops, Azure Data Factory, cloud security, Azure Synapse Analytics, Pyspark, Spark, Databricks, Sql, Delta Lake architecture, data lakes, CI CD
Skills:
data engineering , Soc, Windows, Http, Linux, Data Integration, Siem, Python, SOAR, XDR, Data Analysis, Data Parsing, EDR
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