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Azure Databricks Architect / Sr. Data Engineer With SALESFORCE Experience - REMOTE - Long Term - ( Internal Job Id : OOJ - 4866 ) at Remote, Remote, USA

Email: shekhar.usstaffing@gmail.com

https://rb.gy/r1ud0k
https://jobs.nvoids.com/job_details.jsp?id=2203180&uid=
Azure
Databricks Architect / Sr. Data Engineer With SALESFORCE Experience

REMOTE

Long
Term

Job
Description :

Responsible for developing, implementing, and operating
stable, scalable, low cost solutions to source data from client systems into
the Data Lake, data warehouse and end-user facing BI applications. Responsible
for ingestion, transformation and integration of data to provide a platform
that supports data analysis and enrichment as well as making data operationally
available for analysis. The data Engineer will be a data pipeline builder, data
wrangler and support application develoPers, database architects, data analysts
and data scientists on data initiatives and will ensure optimal data delivery
architecture and is consistent throughout our on

going

projects.

Essential Functions:

Build and maintain scalable automated data pipelines.
Support critical data pipelines with a highly scalable distributed architecture
- including data ingestion from Salesforce , data integration, data curation.

Have Knowledge on Salesforce API to pull data from
Salesforce system to Databricks Delta tables

Need to build scalable and metadata driven framework to
reuse notebooks/PiPelines to move data from Salesforce to Databricks. Solution
should work for future ingestions from Salesforce to Databricks data movement
with minimal changes.

Deploy, automate, maintain and manage Azure cloud-based
production system, to ensure the availability, performance, scalability and
security of productions systems.

Good architectural understanding to build and ensure
customer success when building new solutions and migrating existing data
applications on Azure platform.

Conduct full technical discovery, identifying pain points,
business and technical requirements, "as is" and "to be"
scenarios.

Design and arrangement of scalable, highly attainable, and
fault tolerant systems on Azure platform.

Ot.inership a. responsibility for end-to-end design and
development, testing, release of key components.

Understand and implement best practices in management of
data, including master data, reference data, metadata, data quality and
lineage.

Experience with code versioning tools and a command of
configuration management concepts and tools, CI-CD including DevOps.

Other duties as assigned.

Required Experience:

Expert level SQL knowledge and experience.

Expert level experience with Python/Pyspark/Scala and
Object Oriented programming.

Experience with streaming integration and cloud-based data
processing systems such as, KafIca, and Databricks.

Hands-on knowledge of cloud-based data warehouse solutions
like Azure & Snowflake.

Experience with Azure cloud architecture and solutions.

Experience with Azure Data lake store, Blob Storage, VMs,
Data Factory, SQL Data Warehouse, Azure Databricks, HDInsight, etc.

Experience with data pipeline and workflow management
tools: Azure Data Factory, Airflow, etc.

Experience with Oracle, Microsoft SQL Server Database
system.

Experience working within Agile methodologies.

Experience with Microsoft Windows and Linux virtual
servers.

Moderate skill in Power BT.

Other Skills:

Experience with healthcare data modeling standards, such
as HL7 or FHIR is preferred.

Experience in processing healthcare data sets (medical
records, claims, clinical data etc.) is preferred.

Strong project management skills.

Strong problem-solving, decision-making and analytical
skills.

Excellent interpersonal and organizational skills - a team
player who can effectively partner with all levels of the company.

Detail oriented and organized.

Ability to handle numerous assignments simultaneously.

Ability to work independently and as part of a team.

Minimum Education/Experience:
Bachelor's degree
(BA or BS) from an accredited college or university plus a minimum of six (6)
years of experience in the specific or related field.

Share
the Resumes & Below Details to my Official email id
sekhar@transreach.com only

Legal
Name (First/Last):

Phone
(Primary and secondary):

Candidate
Email:

Current
Location (City, State):

Work
Authorization / Visa Status :

Interview
Availability:

LinkedIn
URL:

Education
Details ( Bachelors / Masters , University Name , Location, Year of Pass
out ) :

Availability
once Confirmed:

Total
years of Work Experience in USA :

Over
All Years of Work Experience :

Open
to Relocate ( Yes / No ) :

Expected
Hourly Bill rate on C2C :

Thanks & Regards,

Shekhar
Talent Acquisition Group

197 Route 18 South #3000 East Wing, East Brunswick, NJ 08816
Email: sekhar@transreach.com
Web : www.transreach.com

--

Keywords: continuous integration continuous deployment business analyst business intelligence information technology Idaho New Jersey
Azure Databricks Architect / Sr. Data Engineer With SALESFORCE Experience - REMOTE - Long Term - ( Internal Job Id : OOJ - 4866 )
shekhar.usstaffing@gmail.com
https://rb.gy/r1ud0k
https://jobs.nvoids.com/job_details.jsp?id=2203180&uid=

shekhar.usstaffing@gmail.com
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Azure
Databricks Architect / Sr. Data Engineer With SALESFORCE Experience

REMOTE

Long
Term

Job
Description            :

Responsible for developing, implementing, and operating
stable, scalable, low cost solutions to source data from client systems into
the Data Lake, data warehouse and end-user facing BI applications. Responsible
for ingestion, transformation and integration of data to provide a platform
that supports data analysis and enrichment as well as making data operationally
available for analysis. The data Engineer will be a data pipeline builder, data
wrangler and support application develoPers, database architects, data analysts
and data scientists on data initiatives and will ensure optimal data delivery
architecture and is consistent throughout our on

going

projects.

Essential Functions:

Build and maintain scalable automated data pipelines.
Support critical data pipelines with a highly scalable distributed architecture
- including data ingestion from Salesforce , data integration, data curation.

Have Knowledge on Salesforce API to pull data from
Salesforce system to Databricks Delta tables

Need to build scalable and metadata driven framework to
reuse notebooks/PiPelines to move data from Salesforce to Databricks. Solution
should work for future ingestions from Salesforce to Databricks data movement
with minimal changes.

Deploy, automate, maintain and manage Azure cloud-based
production system, to ensure the availability, performance, scalability and
security of productions systems.

Good architectural understanding to build and ensure
customer success when building new solutions and migrating existing data
applications on Azure platform.

Conduct full technical discovery, identifying pain points,
business and technical requirements, "as is" and "to be"
scenarios.

Design and arrangement of scalable, highly attainable, and
fault tolerant systems on Azure platform.

Ot.inership a. responsibility for end-to-end design and
development, testing, release of key components.

Understand and implement best practices in management of
data, including master data, reference data, metadata, data quality and
lineage.

Experience with code versioning tools and a command of
configuration management concepts and tools, CI-CD including DevOps.

Other duties as assigned.

Required Experience:

Expert level SQL knowledge and experience.

Expert level experience with Python/Pyspark/Scala and
Object Oriented programming.

Experience with streaming integration and cloud-based data
processing systems such as, KafIca, and Databricks.

Hands-on knowledge of cloud-based data warehouse solutions
like Azure & Snowflake.

Experience with Azure cloud architecture and solutions.

Experience with Azure Data lake store, Blob Storage, VMs,
Data Factory, SQL Data Warehouse, Azure Databricks, HDInsight, etc.

Experience with data pipeline and workflow management
tools: Azure Data Factory, Airflow, etc.

Experience with Oracle, Microsoft SQL Server Database
system.

Experience working within Agile methodologies.

Experience with Microsoft Windows and Linux virtual
servers.

Moderate skill in Power BT.

Other Skills:

Experience with healthcare data modeling standards, such
as HL7 or FHIR is preferred.

Experience in processing healthcare data sets (medical
records, claims, clinical data etc.) is preferred.

Strong project management skills.

Strong problem-solving, decision-making and analytical
skills.

Excellent interpersonal and organizational skills - a team
player who can effectively partner with all levels of the company.

Detail oriented and organized.

Ability to handle numerous assignments simultaneously.

Ability to work independently and as part of a team.

Minimum Education/Experience: 
 Bachelor's degree
(BA or BS) from an accredited college or university plus a minimum of six (6)
years of experience in the specific or related field.

Share
the Resumes & Below Details to my Official email id 
sekhar@transreach.com only

Legal
     Name (First/Last):

Phone
     (Primary and secondary):

Candidate
     Email:

Current
     Location (City, State):

Work
     Authorization / Visa Status :

Interview
     Availability:

LinkedIn
     URL:

Education
     Details ( Bachelors / Masters , University Name , Location, Year of Pass
     out ) :

Availability
     once Confirmed:

Total
     years of Work Experience in USA :

Over
     All Years of Work Experience :

Open
     to Relocate ( Yes / No ) :

Expected
     Hourly Bill rate on C2C :

Thanks & Regards,

Shekhar
Talent Acquisition Group

197 Route 18 South  #3000 East Wing, East Brunswick, NJ 08816 
Email: sekhar@transreach.com
Web : www.transreach.com

Keywords: continuous integration continuous deployment business analyst business intelligence information technology Idaho New Jersey 
Azure Databricks Architect / Sr. Data Engineer With SALESFORCE Experience - REMOTE - Long Term - ( Internal Job Id : OOJ - 4866 )
shekhar.usstaffing@gmail.com

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