Senior Data Engineers

New York, NY New York NY 10001

Date : Aug-23-21

Senior Data Engineers

New York, NY

Aug-23-21

Work Authorization

US Citizen
GC
H1B
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD

Preferred Employment

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

Job Details

Experience

:

Senior

Rate/Salary ($)

:

DOE

Duration

:

6 month

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Required Skills :

ETL, data warehouse, Python, Spark, Hive, Hadoop, Kinesis, Kafka, big data, AWS

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
H1B

Preferred Employment

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

Job Details

Experience

:

Senior

Rate/Salary ($)

:

DOE

Duration

:

6 month

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Required Skills :

ETL, data warehouse, Python, Spark, Hive, Hadoop, Kinesis, Kafka, big data, AWS

Preferred Skills :

Domain :

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Innovate Solutions Inc
Santa Clara, CA
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Job Description :

Job Title: Senior Data Engineers

Location: New York, NY

Start: Immediate

Duration: 6 months +

Rate: DOE

We are looking for multiple Senior Big Data Engineers

Qualifications and Competencies -

Minimum 5 to 7 years of experience in building ETL/ELT, data warehousing and big data solutions
experience in building data models and data pipelines to process different types of large datasets
experience with Python, Spark, Hive, Hadoop, Kinesis, Kafka
Proven expertise in relational and dimensional data modeling
Understand PII standards, processes, and security protocols
Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery
Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management
Experience implementing and supporting operational data stores, data warehouses, data marts, and data integration applications
In depth knowledge in Big Data solutions and Hadoop ecosystem

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