****Local candidates Only Due to the in-person Interview****


*Title: Big Data Engineer*

*Location: Downtown Seattle (Bellevue Area)*

*Rate: $60-$63 /hr C2C*

*Duration: 6+Mts*



*Big Data Engineer* – must be able to do MapReduce from scratch using Java,
understand data pieces, have set up entire workflows. Experience with ETL
processes within Big Data.



*Top Three Skills:                             *

1. Working with Big Data Concepts and development of Big Data (Hadoop)
2. ETL/ Data Warehousing (Informatica)
3. Great problem solver/ critical thinker



*Experience Required: *



*1.10 + years of deep data warehousing experience  2.Experience with
Integration Tools -Netezza (Teradata, Green Plum)*
3.Scripting experience with Pig, Hive, and Python
4.Informatica data manipulation
5.Lead a team and mentor/teach others
6.Great communication and executive presence
Preferred Experience:
7.Experience with Big Data including Hadoop Ecosystem and mapreduce
8.Good problem solving skills
9.Java development experience



*Job Description: *The Client is seeking a Software engineer with Data
Warehouse and Big Data experience to support Client’s Data Solutions
division. They will work with a team to help build the Japan Operational
Data store among other projects for ESPN and Parks and Resorts.
This person will be responsible for 90% development and 10% architecture.
They will be solving business problems using informatica and solutioning
around the ETL process. This person needs to understand how to implement
versus simply migrating. They will be doing both physical and logical data
modeling along with implementation of the design and also working with the
clients to understand strategy and initiatives.

The candidate must develop specifications in data modeling, setting team
standards, data architecture, extraction/transform/loading. We are seeking
a highly motivated, experienced engineer with a background in open source,
big data solutions that excels in teams, is an excellent communicator, and
has an insatiable desire to help the customer. The ideal candidate will
have 7-10 years in development using SQL/Hive/Pig/MR, ETL, Java, Python and
PHP.

The role of this individual will be to design and develop solutions that
allow for the ingestion of data into a variety of different stores, and
then transform these extracts to various business units to solve their data
needs. This role will have an active hand in optimizing these data feeds
and working with very large petabyte data sets. The individual will utilize
Hive, Pig, MapReduce jobs, Query Tool and ETL tools to manage these data
solutions. Working with internal customers, they will help develop
successful proof-of-concepts, analytics and experimentation with the
business units, providing them technical solutions to solve their
particular business needs.

*Additional Information:                *

This team is made up of Big Data, Data Warehousing, and Analytics engineers
and analyst to deploy large scale solutions for ESPN, ABC, Disney
Interactive, Walt Disney Studios, Parks and Resorts, etc. Team is made up
of 15 people. 9 FTEs and 4 contractors

Daily Tasks:
- Develop Technical Solutions and services and interfaces for business
units
- Design of new HDFS data solutions
- Support for pilot, POC and experiments with various business units
- Development of unit, integration and acceptance testing
- Architect new Web Services and APIs
- Production support and triage of support issues

Qualifications:
7-10 years in software development in dynamic environments
Informatica Expert with Training experience
Java required
SQL, Hive/Pig, Map Reduce, Stored Procedures required
Scripting required
HDFS/HBase experience required
Python desirable
Hadoop/Cassandra/Solr/Mongo experience desired
Cloudera Certified Professional desired

Experience with open source platforms is highly desirable, including
technologies like Hadoop, Cassandra, Solr, Mongo and other large scale
platforms. Experience using analytical tools like Pig and Hive and in the
development of Map Reduce jobs on Hadoop is highly
preferred.



****Local candidates Only Due to the in-person Interview****



*Regards,*

*Rahman,       *

*Sr Resource Recruiter*

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

*703 246 1849*

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