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:
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 Azures 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
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 ...
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:
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 Azures 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
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