Lead Data Engineer

Providence, RI Providence RI 02940

Date : Aug-25-20

Lead Data Engineer

Providence, RI

Aug-25-20

Work Authorization

US Citizen
GC
H1B
H4 EAD, TN EAD

Preferred Employment

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

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

DOE

Duration

:

12 Months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Third Party OK

Direct Client Requirement

Required Skills :

ETL, Data Engineer, EDI, JAVA, Python, Scala, Security, Test Plans

Preferred Skills :

Lambda, Glue AWS

Domain :

IT/Software, HealthCare, Insurance, Pharmaceuticals

Work Authorization

US Citizen
GC
H4 EAD, TN EAD
H1B

Preferred Employment

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

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

DOE

Duration

:

12 Months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Third Party OK

Direct Client Requirement

Required Skills :

ETL, Data Engineer, EDI, JAVA, Python, Scala, Security, Test Plans

Preferred Skills :

Lambda, Glue AWS

Domain : IT/Software, HealthCare, Insurance, Pharmaceuticals

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Streams Inc
Lutherville Timonium, MD
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Job Description :

Lead Data Engineer:
Location - Providence RI
Long Term Contract
USC/GC/TN Visa Holders Only

Role Overview:
Develop the end-to-end data flow architecture of ETL process on AWS cloud, extraction, transformation and load of data functions
Develop EDI Mapping via MapForce or homegrown EDI transformer, process the data extraction as per the target/desired state of ETL process.
Develop test plans for ETL unit testing and integration testing
Implement Data structure, mapping, enrichment etc.
Validate ETL end-to-end solution performance and troubleshoot problems
Experience with ETL tools on AWS like AWS Glue
Programming skills with Python, Java or Scala and implement on AWS Lambda, Glue
Implement ETL jobs, auto-scaling
Implement Security standards
Work with ETL lead to validate the ETL implementation is as per the design.
Implement data collection methods, data models, types and transformation process.
Implement Data pipeline (ETL tools) development on AWS"

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