Developer

Hyderabad, AP, IN
 

Developer - (CREQ149577)

Description

Implementing Data Architecture/ Data modelling for data platform and Analytics.
Responsible for the technical design and development of Analytics and big data systems including ETL, data transformations.
Define and govern banking logical model and data platform best practices and standards to include software development practices, design styles and software deployment.
Facilitate the discovery of entities, attributes, relationships, and business rules from the functional experts and the user community.
Metadata management.
Working with cross-functional teams to discover and develop actionable, high-impact data analytics requirements and opportunity statements in a variety of core business areas.
Assessing tool implementations and architectures in the Analytics & Big data space, reviewing for gaps against business needs and industry best practices.
Contributing to business process design and re-engineering impacted areas
Requirements
At least 6 to 8 years of working experience, preferably in banking environments
Familiarity with key technologies and concepts, e.g. Hadoop, Hive, Spark, Scala, Java are necessary
Familiarity with Cloudera echo systems.
Candidate with experience in Analytics and big data architecture.
Familiarity with key technologies and concepts, SQL & Big Data.
Knowledge of products in Banking and Financial Services.
Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
Detail-oriented and able to follow clear methodologies for troubleshooting and development.
Expert knowledge of data Architecture in financial service data models.
Expert knowledge of Erwin data modeler tool. Certifications would be a plus.
Expert in Data Analysis and Data Profiling.
Efficient in prioritising work and multi-tasking

Primary Location

: IN-AP-Hyderabad

Schedule

: Full Time

Employee Status

: Individual Contributor

Job Type

: Experienced

Travel

: No

Job Posting

: 24/11/2022, 3:11:03 PM
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