AWS Data engineer

Farmington, CT Farmington CT 06034

Date : Jul-13-24

AWS Data engineer

Farmington, CT

Jul-13-24

Work Authorization

US Citizen
GC
H1B
GC EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Midlevel

Rate/Salary ($)

:

Market

Duration

:

6 to 12 months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Direct Client Requirement

Required Skills :

AWS, Cloud Engineer, PowerBI, Python, Snowflake, Snowflake data lake), SQL

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

:

Midlevel

Rate/Salary ($)

:

Market

Duration

:

6 to 12 months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Direct Client Requirement

Required Skills :

AWS, Cloud Engineer, PowerBI, Python, Snowflake, Snowflake data lake), SQL

Preferred Skills :

Domain : IT/Software

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Accord Tecnologies.Inc
New York, NY
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Job Description :

Title: AWS Data Engineer
Location: Farmington, CT
Duration: 6 months
Position type: W2 contract.

Required Skills & Experience:

AWS (the dataset from the Cloud Engineer and Snowflake data lake), Snowflake, SQL, Python and PowerBI

Responsibilities:

They will be designing, developing, and deploying a portfolio of Data & Analytics technology assets and platforms leveraging cloud-based tools and capabilities to capture, explore, transform, and deliver data.
Additionally, they will analyze, document and develop solutions based on business needs and opportunities to deliver the intended outcomes in a timely manner.
Key skills in AWS (the dataset from the Cloud Engineer and Snowflake data lake), Snowflake, SQL, Python and PowerBI willenable you to excel in this role.
Put simply - We need a hands on Data Engineer that is really good with PowerBI and have experience working with AWS Data & Analytics Capabilities.
They will like working with our business teams to rapidly build new datasets and dashboards.

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