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Title: ETL/Informatica Architect Consultant

Duration: 12 Months + Ext

Location: NJ

Job Description: Hands-on Senior ETL architect and developer with
experience working on large volumes of diverse data with complex business
rules.  A key objective of this role is to help build an enterprise level
data analytics platform using industry standard concepts against
client Data Warehouse, Data Lake, and Big Data environments.  Candidate
must be able to innovate in an environment that combines traditional
warehouse technologies, MPP databases and Hadoop. As part of the team,
candidate will be responsible for ingesting and preparing massive amounts
of data for reporting, dashboards, self-service and advanced analytics.
Ideal candidate will be motivated to build robust and scale-able systems to
handle petabytes of data, with billions of new data points being ingested
daily.

*Required skills:*

   - Working knowledge of industry standard Data Infrastructure (e.g.
   Warehouse, BI, Analytics, Big-Data, etc.) tools with the goal of providing
   end users with analytics at the speed of thought.
   -  Proficient in developing, architect-ing, standardizing and supporting
   technology platforms using Industry leading ETL solutions.
   -  Experience thriving in building scala-ble, high throughput systems
   that process more than 10 billion data points a day.
   -  Strong communication, presentation, problem-solving, and
   trouble-shooting skills.
   -  Experience with agile BI & ETL practices to assist with the interim
   Data preparation for Data Discovery & self-service needs.
   -  Highly motivated to drive innovations company-wide.

*Must have:*

   -  5+ years of experience in ETL tools.  Specific expertise in
   implementing Informatica in an Enterprise environment is a plus.
   -  Advanced SQL capabilities are required.  Knowledge of database design
   techniques and experience working with extremely large data volumes is a
   plus.
   -  Strong understanding of data warehousing methodologies, ETL
   processing and dimensional data modeling.
   -  Demonstrated experience and ability to work with business users to
   gather requirements and manage scope.
   -  Experience programming in a Linux/UNIX environment including shell
   scripting.
   -  Programming experience in Python.
   -  BA, BS, MS, PhD in Computer Science, Engineering or related
   technology field

*Ideal Candidate will have:*

   -  Experience with large database and DW Implementation (20+ TBs)
   -  Understanding of VLDB performance aspects, such as table
   partitioning, sharding, table distribution and optimization techniques
   -  Experience working in a big data environment with technologies such
   as  Hadoop, Spark, and HIVE.
   -  Programming experience, including Java, C++, ksh
   -  Knowledge of reporting tools such as QlikSense, Tableau, Cognos





Thanks and regards,

Sekhar

Recruiter



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