This job ad has been posted over 40 days ago...


Full-time Savvy Hadoop Data Engineer

at vicky1pointsys in Connecticut

Position: Sr. Data Engineers with Hadoop experience

Location: Hartford CT

Duration: 12 months contract

Because of all Data is been migrated to Client?s Hadoop Cluster 3.1 ( CVS
was 2.6)

Data includes and not limited to Health, Pharma and Retail Data

Hoping to accomplish this by March 2020

The role is not really a Hadoop Developer but more of a Data Engineer.

We are looking for a savvy Hadoop Data Engineer to join our growing team of
analytics experts. The contractor will be responsible for building and
optimizing our data and data pipeline architecture, as well as optimizing
data flow and collection for cross functional team s. The ideal candidate
is an experienced data pipeline builder. The Hadoop Data Engineer will
support our software developers and database architects initiatives and
will ensure optimal data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and comfortable supporting the
data needs of multiple teams, systems and products

Fundamental Components:

- Develops large scale data structures and pipelines to organize,
collect and standardize data that helps generate insights and addresses
reporting needs.
- Collaborates with other data teams to transform data and integrate
algorithms and models into automated processes.
- Uses knowledge in Hadoop architecture, HDFS commands and experience
designing & optimizing queries to build data pipelines.
- Builds data marts and data models to support Data Science and other
internal customers.
- Analyzes current information technology environments to identify and
assess critical capabilities and recommend solutions.
- Experiments with available tools and advises on new tools in order to
determine optimal solution given the requirements dictated by the model/use


- 3 or more years of progressively complex related experience.
- Has strong knowledge of large scale search applications and building
high volume data pipelines.
- Experience building data transformation and processing solutions.
- Knowledge in Hadoop architecture, HDFS commands and experience
designing & optimizing queries against data in the HDFS environment.
- Ability to understand complex systems and solve challenging analytical
- Ability to leverage multiple tools and programming languages to
analyze and manipulate data sets from disparate data sources.
- Strong collaboration and communication skills within and across teams.
- Strong problem solving skills and critical thinking ability.

SKILL SET desired:

- Hive
- Shell Script
- Unix
- Hadoop Concepts (Sqoop, YARN, MapReduce ,etc.)
- Python

Reference : Savvy Hadoop Data Engineer jobs

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Published at 07-11-2019
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