*Teradata Engineer at Temple Terrace, FL*
PLEASE SEND MATCHING RESUMES TO shail...@swarkysolutions.com OR
shailesh.recrui...@gmail.com

Job Title:
Teradata Engineer

Job Location:
Temple Terrace, FL

Description:
Design and code from specifications, analyzes, evaluates, tests, debugs,
documents, and implements complex software apps
- Uses coding methods in specific programming languages to initiate or
enhance program execution and functionality
Applicant must be able to demonstrate the following:

Design and write system specifications.
Use Teradata utilities fastload, multiload, tpump, and TPT to load data.
Write BTEQ scripts to transform data.
Write Fastexport scripts to export data.
Write, test and implement Teradata Fastload, Multiload and Bteq scripts,
DML and DDL.
Construct Kornshell driver routines (write, test and implement UNIX
scripts).
Write views based on user and/or reporting requirements.
Will be expected to be available for on-call response in order to provide
24x7 emergency response capabilities.
SQL proficient.
Over 2 years of experience with Big Data Technologies like Hadoop, Map
Reduce, Hive, Pig and Sqoop
Experience with NoSql databases like MongoDB and HBase
Experience in Installation and Configuration of Hadoop cluster

Description:
Minimum of 7 years of relevant work experience in the information
technology field. Participation in full Software Development Life Cycle
(SDLC) of data warehousing projects; project planning, business requirement
analysis, data analysis, logical and physical database design, setting up
the warehouse physical schema and architecture, developing reports,
security and deploying to end users. Good communication skills and business
knowledge.

Minimum of 5+ years strong Teradata and SQL, UNIX, Data Warehouse Modeling,
Teradata Utilities, Aggregates and building efficient views; other SQL and
UNIX experience plus Teradata certification may be substituted for years of
Teradata experience.

Installed and configured Apache Hadoop, Hive and Pig environment on the
prototype server.
Configured MySql Database to store Hive metadata.
Responsible for loading unstructured data into Hadoop File System (HDFS).

Thanks & Regards
Shailesh
Swarky Solutions, MN
shail...@swarkysolutions.com

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