Programmers.io
Job Title: Azure Data Engineer
Location: Weehawken, NJ ( 5 days WFO)
Job Type : Fulltime
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 Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required 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, Dipendra Gupta Technical Recruiter Dipendra.gupta@programmers.ai
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 Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required 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, Dipendra Gupta Technical Recruiter Dipendra.gupta@programmers.ai