Azure Databricks Engineer with Python

2 weeks ago


Weehawken, United States Saransh Inc Full time

Azure Databricks Engineer with Python & Spark - 2 Positions (Senior & Lead) - Only W2 5 days ago Be among the first 25 applicants Role: Azure Databricks Engineer with Python & Spark (Senior / Lead) Location: Weehawken, NJ (Onsite from Day 1) Job Type: W2 Contract Note: 2 positions are available - Senior & Lead Experience Level: Senior OR Lead Must Have Skills (Mandatory) Apache Spark Python Azure Data Factory Azure SQL Microsoft Azure Synapse Analytics ETL/ELT Solutions Nice To Have Skills Apache Kafka CI/CD Experience & Qualifications Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service Working knowledge of Python Expert level skills writing and optimizing complex SQL Experience with complex data modeling, 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 data pipelines using API ingestion and Streaming ingestion methods Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code Experience in developing NoSQL solutions using Azure Cosmos DB Thorough understanding of Azure and AWS Cloud Infrastructure offerings Key Responsibilities Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks Utilize Azure’s analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging Note: Visa Independent candidates are highly preferred #J-18808-Ljbffr


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