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8+ years exp JOB Description :
Expert level skills writing and optimizing complex SQL
Experience with complex data modelling, ETL design, and using large databases in a business environment
Experience with building data pipelines and applications to stream and process datasets at low latencies
Fluent with Big Data technologies like Spark, Kafka and Hive
Designing and building of data pipelines using API ingestion and Streaming ingestion methods
Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential
Experience in developing NO SQL solutions using Azure Cosmos DB is essential
Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Working knowledge of Python is desirable
Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance
Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information
Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision‑making.
Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards
Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging
Best Regards, Technical Recruiter
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
8+ years exp JOB Description :
Expert level skills writing and optimizing complex SQL
Experience with complex data modelling, ETL design, and using large databases in a business environment
Experience with building data pipelines and applications to stream and process datasets at low latencies
Fluent with Big Data technologies like Spark, Kafka and Hive
Designing and building of data pipelines using API ingestion and Streaming ingestion methods
Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential
Experience in developing NO SQL solutions using Azure Cosmos DB is essential
Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Working knowledge of Python is desirable
Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance
Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information
Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision‑making.
Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards
Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging
Best Regards, Technical Recruiter
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr