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Azure Data Engineer
Weehawken, NJ
Weehawken
NJ
07086
Date
: Feb-15-24
2024-02-15
2025-02-06
Azure Data Engineer
Weehawken, NJ
Feb-15-24
Work Authorization
US Citizen
GC
H1B
GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
6 months
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
AWS DynamoDB, IBM DB2, MS Azure, MS SQL, Ontologies, RDF
Preferred Skills
:
Domain
:
IT/Software
Work Authorization
US Citizen
GC
GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
6 months
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
AWS DynamoDB, IBM DB2, MS Azure, MS SQL, Ontologies, RDF
Preferred Skills
:
Domain
:
IT/Software
Accord Tecnologies.Inc
New York, NY
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Role: Azure Data Engineer
Location: Weehawken NJ
3 Days Hybrid from Day 1
Duration: 6-12 months
Only Locals considered for this position
Requirement details:
Experience
designing and deploying data platforms on MS Azure
Strong Experience with
MS SQL, familiar with AWS DynamoDB, IBM DB2
Familiar with
RDF/Ontologies
Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.
Proficient in programming languages like Spark (with either Python or Scala), SQL
Experience with Databases like Sql Server, Teradata, Snowflake, Synapse.
Good understanding of data engineering principles, data modelling, data warehousing, and ETL/ELT processes which includes data testing, validation and reconciliation processes.
Hands-on experience with data integration and data transformation frameworks, tools, and methodologies.
Experience with version control systems like Git, GitHub etc
Collaborate with cross-functional teams and business teams to understand business requirements and translate them into technical designs and solutions.
Build and maintain data pipelines, data integrations, and data transformations to enable efficient data processing, storage, and retrieval.
Optimize data infrastructure and solutions for performance, scalability, and cost-efficiency, ensuring high availability and reliability.
Conduct data profiling, data validation, and data cleansing activities to ensure data integrity and accuracy.
Mentor and provide technical guidance to junior data engineers, s/interns, fostering knowledge sharing and skills development within the team.
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