Hi,


I have some urgent requirements with my client. Please send me your updated
resume along with your hourly rate / yearly salary expectations, if
interested. In case you are not interested, it will be nice to let your
friends know of this position who may be a potential fit.



*Sr. Hadoop Developer*

*San Jose/Sunnyvale, CA*

*No of Positions: 15*



Big Data

Hadoop Lead

SPARK

Must Have:
8 to 10 years of IT experience with atleast 2 to 4 years of Hands on
experience in Big Data.
Work directly with customers' technical resources to devise and recommend
solutions based on understood requirements.
Worked in complex Big data environment with Parallel streaming platform
build out experience.
Experience on Micro services/ Rest API.
Hands-on Programming Experience on Kafka, Avro, Spark, Hadoop, Python,
Scala/Java.
Dev Ops experience
Good To Have:
ElasticSearch
AWS experience or any other cloud platform experience
Experience with relational (SQL)/ NPP and NoSQl Databases.
Experience with one or more statistical and machine learning packages or
frameworks such as R, SciKitLearn, SparkML(MLlib), Tensorflow.

Big Data

Python

Python

Python Dev Ops Engineer
1.Excellent knowledge of Ansible or Chef

2. 5 years developement experience with Python

3.Should have hands-on experience in writing playbooks/cookbooks.

4.Should have experience in architecting and Implementing CI/CD process.

5.Should have experience using Jenkins or Bamboo.

9.Linux core administration would be a plus.”

10. Worked on monitoring tools like Datadog, Elk or Splunk.

Big Data

Cassandra Developer

Big Data Engineer

Java, Cassandra, Hadoop

Kafka and Cassandra admin knowledge
Good in shell scripting/python, linux basics
Expertise in Deployment and Support of NoSQL - Cassandra / Couchbase in
Multi-Data Center / Multi Region setup.
Experience in Infrastructure Design & Support, with multiple technology
stack
Master level experience with large scale distributed data / big data
environment build and support including design, configuration,
installation, capacity planning, capacity management, and performance
tuning, monitoring/alerting, etc.
Cassandra Advanced Replication, Tiered Storage, Multi Instance
Configurations

Big Data

Cassandra Architect

Hadoop Lead

Cassandra, Java, Hadoop
Kafka and Cassandra admin knowledge
Good in shell scripting/python, linux basics
Expertise in Deployment and Support of NoSQL - Cassandra / Couchbase in
Multi-Data Center / Multi Region setup.
Experience in Infrastructure Design & Support, with multiple technology
stack
Master level experience with large scale distributed data / big data
environment build and support including design, configuration,
installation, capacity planning, capacity management, and performance
tuning, monitoring/alerting, etc.
Cassandra Advanced Replication, Tiered Storage, Multi Instance
Configurations

Big Data

Hadoop Lead

Hadoop System Engineer

Hadoop Performance Tuning
Must Have:
8 to 10 years of IT experience with atleast 2 to 4 years of Hands on
experience in Big Data.
Work directly with customers' technical resources to devise and recommend
solutions based on understood requirements.
Worked in complex Big data environment with Parallel streaming platform
build out experience.
Experience on Micro services/ Rest API.
Hands-on Programming Experience on Kafka, Avro, Spark, Hadoop, Python,
Scala/Java.
Dev Ops experience
Good To Have:
ElasticSearch
AWS experience or any other cloud platform experience
Experience with relational (SQL)/ NPP and NoSQl Databases.
Experience with one or more statistical and machine learning packages or
frameworks such as R, SciKitLearn, SparkML(MLlib), Tensorflow.

Business Analytics

Analytics

Data Science

• Hands-on in digging into the data, doing analysis and guiding developers
to code for a requirement.• Good SQL experience (preferable Teradata and
Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to
get the requirements to final product• Experience in analyzing the data and
data modelling• Support users for UAT testing• Support the audit team with
documentation and walk-thru of the changes• Prior development experience in
Data warehousing projects is a plus• Manage user escalations• Having Data
warehousing, Teradata or Hadoop background is a plus• MBA is a must •
Hands-on in digging into the data, doing analysis and guiding developers to
code for a requirement.• Good SQL experience (preferable Teradata and
Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to
get the requirements to final product• Experience in analyzing the data and
data modelling• Support users for UAT testing• Support the audit team with
documentation and w

Business Analytics

Machine Learning

R Scripting

• Hands-on in digging into the data, doing analysis and guiding developers
to code for a requirement.• Good SQL experience (preferable Teradata and
Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to
get the requirements to final product• Experience in analyzing the data and
data modelling• Support users for UAT testing• Support the audit team with
documentation and walk-thru of the changes• Prior development experience in
Data warehousing projects is a plus• Manage user escalations• Having Data
warehousing, Teradata or Hadoop background is a plus• MBA is a must •
Hands-on in digging into the data, doing analysis and guiding developers to
code for a requirement.• Good SQL experience (preferable Teradata and
Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to
get the requirements to final product• Experience in analyzing the data and
data modelling• Support users for UAT testing• Support the audit team with
documentation and w

Big Data

Scala Developer

SPARK

Scala Jd:

Designing, developing and implementing a real time data, integration using
Big Data technologies such as Spark using Scala programming language.
Strong in in Spark Scala pipelines (both ETL & Streaming)
Worked on designing distributed data systems & pipelines
Experience with big data methodologies involving Hive/Hadoop/ Spark;
Experience in object oriented coding language - Java/Python
Good experience in Requirements gathering, Design & Development
Working with cross-functional teams to meet strategic goals
Experience in high volume data environments
Critical thinking and excellent verbal and written communication skills

Strong problem-solving and analytical abilities

Good knowledge of data warehousing concepts

Big Data

Spark & Hadoop lead

Scala Developer

Must Have:
8 to 10 years of IT experience with atleast 2 to 4 years of Hands on
experience in Big Data.
Work directly with customers' technical resources to devise and recommend
solutions based on understood requirements.
Worked in complex Big data environment with Parallel streaming platform
build out experience.
Experience on Micro services/ Rest API.
Hands-on Programming Experience on Kafka, Avro, Spark, Hadoop, Python,
Scala/Java.
Dev Ops experience
Good To Have:
ElasticSearch
AWS experience or any other cloud platform experience
Experience with relational (SQL)/ NPP and NoSQl Databases.
Experience with one or more statistical and machine learning packages or
frameworks such as R, SciKitLearn, SparkML(MLlib), Tensorflow.

Big Data

Hive

Data Modelling

Must Have
1. Strong in Hive and Impala query languages
2. Data Warehousing skills such a creating and maintaining data models
3. Ability to troubleshoot long running Hive/Impala queries and optimize
the performance (prior experience in this is a must)
4. Hands on experience in Python with good coding standards
5. Experienced in GIT, Jenkins and Jira platforms
6. Expertise in shell scripting
7. Hands on experience in Apache Spark
8. Experience in developing ETL scripts using Python, PySpark and shell
scripts
9. Job scheduling with cron
10. Experience in Cloudera Enterprise Platform and components
Added Advantage
1. Prior experience in SAP to Hadoop data migration
2. Experience/knowledge in Attunity
3. Experience/knowledge with AtScale
4. Experience/knowledge with RedWood
5. Experience/knowledge in Solr indexing Solr Hadoop integration

Big Data

Adobe Analytics

Digital Analysis

• Adobe Web Analytics experience with implementing Web analytics using
Adobe analytics. • Excellent communication skills, Self-directed team
player who thrives in a continually changing environment.Added advantage --
Front-end engineering using Object-Oriented JavaScript (jQuery, Angular,
etc.), HTML5 and CSS.• Adobe Web Analytics experience with implementing Web
analytics using Adobe analytics. • Excellent communication skills,
Self-directed team player who thrives in a continually changing
environment.Added advantage -- Front-end engineering using Object-Oriented
JavaScript (jQuery, Angular, etc.), HTML5 and CSS.• Adobe Web Analytics
experience with implementing Web analytics using Adobe analytics. •
Excellent communication skills, Self-directed team player who thrives in a
continually changing environment. Added advantage -- Front-end engineering
using Object-Oriented JavaScript (jQuery, Angular, etc.), HTML5 and CSS

Big Data

Big Data Engineer

Hadoop Developer

Bigdata Developer

Big Data

Hadoop Developer

Big Data Engineer

1) Basic knowledge on Python2) Good Understanding of Hadoop Architecture3)
Strong knowledge on SQL4) Extensive knowledge on Hive and Spark5) Good
Knowledge on performance tuning techniques and query optimizations.Solution
architect coming with Big data experience. He or she should have experience
in designing solutions for multiple large data warehouses with a good
understanding of cluster and parallel architecture as well as high-scale or
distributed RDBMS and/or knowledge on NoSQL platforms.In addition to the
above but not restricted to the below key skills are also required.• To be
able to benchmark systems, analyse system bottlenecks and propose solutions
to eliminate them and improve performance of the systems;• Should be able
to clearly articulate pros and cons of various technologies and platforms;•
To be able to document use cases, solutions and recommendations;

Big Data

Big Data Engineer

Hive

•         5-8 years of post-college working experience in end-to-end Data
Warehouse application development and deployment
•         2+ Years of experience in Architecting Hadoop/Spark/Big Data
applications and environments
•         Expertise and hand-on experience with the Hive and/or SparkSQL is
a must
•         Sound knowledge of relational databases (SQL)
•         Experience with large SQL based systems like Teradata, Oracle and
Unix/Linux shell scripting is a plus
•         Familiar with industry best practices and how to drive
efficiently while maintaining a robust service offering

Big Data

Big Data Engineer

Python

• 5-8 years of post-college working experience in end-to-end Data Warehouse
application development and deployment• 2+ Years of experience in
Architecting Hadoop/Spark/Big Data applications and environments• Expertise
and hand-on experience with the Hive and/or SparkSQL is a must• Sound
knowledge of relational databases (SQL)• Experience with large SQL based
systems like Teradata, Oracle and Unix/Linux shell scripting is a plus•
Familiar with industry best practices and how to drive efficiently while
maintaining a robust service offering* Phyton skillset is good to have• 5-8
years of post-college working experience in end-to-end Data Warehouse
application development and deployment• 2+ Years of experience in
Architecting Hadoop/Spark/Big Data applications and environments• Expertise
and hand-on experience with the Hive and/or SparkSQL is a must• Sound
knowledge of relational databases (SQL)

Business Analytics

Business Analysis

Data Analysis

• Hands-on in digging into the data, doing analysis and guiding developers
to code for a requirement.• Good SQL experience (preferable Teradata and
Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to
get the requirements to final product• Experience in analyzing the data and
data modelling• Support users for UAT testing• Support the audit team with
documentation and walk-thru of the changes• Prior development experience in
Data warehousing projects is a plus• Manage user escalations• Having Data
warehousing, Teradata or Hadoop background is a plus• MBA is a must •
Hands-on in digging into the data, doing analysis and guiding developers to
code for a requirement.• Good SQL experience (preferable Teradata and
Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to
get the requirements to final product• Experience in analyzing the data and
data modelling• Support users for UAT testing• Support the audit team with
documentation and w

Digital Analytics

Big Data Engineer

Hadoop System Engineer

Associate with Strong Hadoop skills.













Thanks and Regards,

Dev Chauhan

 Sr. IT Recruiter
 Ph: 609-853-0818 Ext: 2290

 *[email protected]* <[email protected]>

 *www.nityo.com* <http://www.nityo.com/>

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