Azure Data Engineer

Weehawken, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

JD -

Min 7-8 years exp

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 Azures 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

JD - Min 7-8 years exp 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 ...