Job Description :
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Big Data Architect - Fort Worth, TX - Contract

Job Description

Big Data Architect is responsible for creating the Design, Development and
Implementation of Big Data Platform for acquiring data from Mechanical
devices. Responsibilities include analysis, design, development,
implementation and support of the application(s) to benefit businesses.
Design and Development of a Framework for common and consistent use of the
intended design for real time streaming of data and batch process based data
migration. Architect will be responsible for all deliverables from Review of
requirements, developing Technical Design Documentation, Validation of test
scripts and test cases, coordinate the implementation of the same into
production and related support activities.

Core Responsibilities:

1. Lead the Architecture, design, development and Implementation of Big Data
2. Selecting the right Big Data tool sets to meet the requirement
3. Define the scope of the of multiple Big Data projects within the program

Day-to-Day Responsibilities:

1. Design, Develop and Implement Big Data Applications
2. Extensive experience application optimization (performance Tuning the
application), Big Data - data architecture strategy
3. Develop Technical Design documentation, participate in architecture
reviews with sr. architects in the organization, collaborate with Data
Modeling, FRD and Testing team for successful implementation of planned
deliverables with zero defects in time
4. Hands experience in developing routines using Spark/ Scala, HIVE, SQOOP
and Linux scripting.

Key Deliverables:

1. Architect / Design, Lead, Implement Big Data Applications
Minimum 10-12 years of relevant experience in Enterprise Data Managament and
computing tool like using Java, ETL products and BI / Datawarehousing
Must have 2+ year experience working on Big Data Technologies, preferably
Java, Spark and Big data tools like Hive, Scala, Pig, etc.,.
BS or MS in Computer Science
Skills Need for this position include a combination of:
Big Data - Spark, Impala, Hiva, Scala, Kafka, Hadoop (HDP), Sqoop