Talend Lead – Big Data

Windsor, CT Windsor CT 06095

Date : Mar-02-20

Talend Lead – Big Data

Windsor, CT

Mar-02-20

Work Authorization

US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)

Preferred Employment

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

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

12 months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

x-Other

Consulting / Contract

Third Party OK

Required Skills :

Big Data, Apache, Business Intelligence, C, C++, ETL, Hadoop, JAVA, Linux, Oracle, Ruby, SAS, Solaris, SQL, SQL Server, unix, Windows Azure

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B

Preferred Employment

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

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

12 months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

x-Other

Consulting / Contract

Third Party OK

Required Skills :

Big Data, Apache, Business Intelligence, C, C++, ETL, Hadoop, JAVA, Linux, Oracle, Ruby, SAS, Solaris, SQL, SQL Server, unix, Windows Azure

Preferred Skills :

Domain :

Apply Now

Siyaton
Libertyville, IL
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Job Description :

Role: Talend Lead – Big Data
Location: Windsor CT
Duration: 6-12 months contract

Job Description :

ü Ten plus years in Data Engineering (BI/DWH/ETL) Development experience, at least 4-5 years with Talend and Big Data.
ü Candidate should be comfortable working with Talend Data Mapper, Micro services, CICD workflow and complex transformation components.
ü Manage Talend code artifacts using repository tools such as Git/SVN
ü Well versed with deploying, migrating, and publishing code in Talend Environments
ü Should have experience integrating on premise sources with anyone of the Cloud platform : AWS/GCP/Azure
ü Experienced in database solution languages, especially SQL, Cassandra, and Big table. In addition, minimum experienced with traditional databases like Oracle, SQL Server and IBM Iseries.
ü Experienced with Hadoop-based analytics, such as HBase, Hive, Pig, Map Reduce and Apache Sqoop and Apache Spark.
ü Experienced with multiple operating systems, especially UNIX, Linux, Solaris and some cloud platforms.
ü Proficiency in languages, especially R, SAS, Python, C/C++, Ruby Perl and Java.

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