Job Description :
Hi,

Greetings!!

We have an Urgent requirement for Data Specialist at Palo Alto, CA
If you are interested for this position please share updated profile on or Call EXT-4127)

Roll: Data Specialist
Location: Palo Alto, CA
Primary Skills: Azure Data Services, SQL, Python & C#
Responsibilities
Architect, design, develop end-to-end data pipelines across multiple data sources and systems of record for Real Time & Batch data.
Ensure data quality, integrity, security and completeness throughout the data lifecycle.
Develop, design data models, data structures and ETL jobs for data acquisition and transformation purposes
Develop deep understanding of the data sources, implement data standards, maintain data quality and master data management
Designing & Developing data services and API for orchestration in Cloud Environment.
Work closely with the cloud service providers to ensure completeness and alignment with the service offerings
Manage and maintain cloud based data and analytics platform
Deep understanding of the cloud offerings and engage in quick proof of concepts and proof of value in prototyping data and analytics solutions and derive viability
Ability to interact with the business stakeholders to understand requirements and translating into technology solutions

Qualifications
Technical
Experience in Cloud platform - Azure eco-system.
Experience in Azure Data Services ( Azure Data Factory, Azure SQL, Azure DWH, Azure Data Catalog, Azure Blob Storage)
experience in Azure Functions & Integration of other Azure Service & building end to end Cloud solution.
Data Engineering/Development experience with SQL (Oracle, SQL Server, MySQL)
Strong development background creating pipelines and complex data transformations and manipulations using one of the languages Python, Data bricks/Spark.
Experience in NoSQL Databases and Big data technologies including Hadoop, Mongo DB, Azure Cosmos DB.
Experience with API / RESTful data services using C
Worked on real-time data capture, processing and storing using technologies like Kafka, Azure Event Hubs and Analytics
Experience working with different data storage options including Azure BLOB storage, Azure Table Storage
Understanding of different data formats including Parquet, Avro, CSV, ORC etc.
Prior experience with MPP databases and maintain large amount of data processing
Experience with Azure Data Factory and Azure Data Catalog is a big plus but not mandatory
Experience with Microsoft/Azure ETL solutions and business Intelligence technologies is a big plus but not mandatory
Functional
Past working experience on a fast paced and agile environment
Perform ongoing monitoring, automation and refinement of data engineering solutions
Experience in leading high visibility transformation projects that interacts with multiple business lines
Experience working with an on-shore / off-shore model
Build and meet project timelines and manage delivery commitments with proper communication to management
Collaborate and communicate with key business lines, technology partners, vendors and architects
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