Azure Data Engineer

Weehawken, NJ Weehawken NJ 07086

Date : Feb-15-24

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

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

Direct Client Requirement

Required Skills :

AWS DynamoDB, IBM DB2, MS Azure, MS SQL, Ontologies, RDF

Preferred Skills :

Domain : IT/Software

Apply Now

Accord Tecnologies.Inc
New York, NY
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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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