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Azure Data Bricks
Irving, TX
Irving
TX
75063
Date
: Feb-14-21
2021-02-14
2022-02-04
Azure Data Bricks
Irving, TX
Feb-14-21
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Midlevel
Rate/Salary ($)
:
USD 65 / Hourly / C2C
Duration
:
0 years 7 months 3 days
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
H1B Sponsorship Available
CONTRACTOR
Direct Client Requirement
Required Skills
:
Azure Data Bricks
Preferred Skills
:
Domain
:
IT/Software
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Midlevel
Rate/Salary ($)
:
USD 65 / Hourly / C2C
Duration
:
0 years 7 months 3 days
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
H1B Sponsorship Available
CONTRACTOR
Direct Client Requirement
Required Skills
:
Azure Data Bricks
Preferred Skills
:
Domain
:
IT/Software
VdartInc
Alpharetta, GA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Primary Skillset : Azure Data Bricks, Azure Data Lake, PySpark, SparkSQL, SQL. Secondary Skillset: Domain knowledge in CRM Detailed JD: Should be good at Querying spark tables using Python (Python API to using Spark) Concept of Big data using Apache Spark and DataBricks. Strong knowledge in Pyspark. Strong in DataBricks Writing effective, scalable code Developing back-end components to improve responsiveness and overall performance Integrating user-facing elements into applications should have experience using server-side logic and work well in a team. Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks Delivering and presenting proofs of concept to of key technology components to project stakeholders.
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