Big Data Developer with Python at San Ramon, CA

San Ramon, CA San Ramon CA 94583

Date : Sep-13-21

Big Data Developer with Python at San Ramon, CA

San Ramon, CA

Sep-13-21

Work Authorization

US Citizen
GC
H1B
GC EAD, L2 EAD, 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

:

BigData, NoSQL

Sp. Skills

:

BigData

Consulting / Contract

Required Skills :

Big Data, Python, SAN, Data Engineer, Hbase, Kafka, NoSQL, Security, SQL

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
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

:

Architect, Senior

Rate/Salary ($)

:

DOE

Duration

:

12 Months

Sp. Area

:

BigData, NoSQL

Sp. Skills

:

BigData

Consulting / Contract

Required Skills :

Big Data, Python, SAN, Data Engineer, Hbase, Kafka, NoSQL, Security, SQL

Preferred Skills :

Domain :

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Nityo Infotech
Plainsboro, NJ
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Job Description :

Position: Big Data Developer with Python

Location: San Ramon, CA

Job Description:

Big Data, Python

Big Data skills - AWS, Spark, Python, Hbase, Kafka, HDFS etc.

• Experience building data pipelines for enterprise-grade data and analytics platforms that are highly scalable, compliant and secure with robust data quality, data governance, data discovery, catalog and visualization capabilities.

• Experience in all facets of software development life cycle like analysis, design, development, data conversion, data security, system integration and implementation.

• Relational SQL and NoSQL databases, including Postgres and Cassandra

• Data Engineer with experience in handling data pipelines.
• Knowledge in both structured and unstructured data.
• Understand the business requirements working with the team and the business stakeholders as identified
• Knowledge on best practices to construct data pipelines native to cloud and from On prem to cloud.
• Recommend ingestion frameworks for future data streams high level

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