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
Azure Databricks Architect.(Healthcare & Salesforce API Exp Must) - 100% Remote (12+Yrs Required)
Our client is looking Azure Databricks Architect/Data Engineer for Long term project in 100% Remote below is the detailed requirements.
Job Title : Azure Databricks Architect(Healthcare & Salesforce API Exp must)
Location : 100% Remote
Duration : Long Term
Job Description:
Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant experience.
Responsive fur developing, , and operating to source data from client systems into the Data lake, data warehouse and end user facing Responsible for ingestion, transformation and integration of ilata to previde BI applications Tat fors that supports data analysis and enrichment as well as making data operutionally available for analysis. The data Engineer will be data pipeline builder, late wrangler and support aplication developers, database architects, data analysts and date scientists on data initiatives and will ensure optimal data dellvery architecture and is consistent throughout our ongoing projects
Build and maintain automated data pipelines. Support critical data pipelines with a highly scalable distributed Architecture. Including data ingestion from Salesforce API Salesforce and Azure Databricks Delta tables
Butid and maintain scaloble automated data pipelines. Support critical data pipelines with a highly scalable distributed architecture including data ingestion (streaming, events and batch), date Integration, data curation
Deploy Good architectural I understanding build and ansi sustomer success whine building now ablations and wig rating existing data applications on
, wusste, maintain and manage Azure cloud-based production system, to ensure the availability, performance, scalabtitty and security of productions systems. Anice platform.
Dindart full technical discovery, identifying pain points, business and technical requirements, "as is" and "to be" scenartas.
Design and arrangement of scalable, highly attainable, and fault tolerent systems on Azure platform.
Danership and ewsponsibility for end-tow design and development, resting, release of key components.
Faperlasun with code versioning tools and a де жатадeвent of duce, including waster data, reference data, and of configuration management concepts ence data, metadata, data quality and lineage and tools, incluating Dep
Experiance with Acure cloud architecture and solutions,
Experience with Azure Data Lake stare, Blub Storage, Wits, Data Factory, 10 Data Warehouse, Azure Databricks, HDInsight, atz
Expert level experience with Python/Pyspark/Scala and Object Drinted programming. Fxperience with streaming Integration and cloud-based data processing sy puch as
Experience with healthcare date modeling standards, such as H7 THTR is Mandatory. Kafka, and Databricks. Mandatory
Experience in althcare data cots (medical reums, claims, clinical data otr.) essing hea
Hands-on knowledge of cloud based data ware house solutions like Azure & Snowflake
Experience with data pipeline and workflow green tools Azure Data Factory, Airflow, etc.
Experience with Gracie, Microsoft 30 Surver Database system.
Strong Analytics and problem Solving Skills
Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.