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App Dev Tech Lead Analyst

Location Pune, India
Posted 27-October-2021
Responsibilities Senior Data Modeler/Data Engineer(Vice President) is required to join Analytics platform - AQUA Liquidity Management group to work on projects that cater to the needs of Business,Federal regulators and ICG Treasury. A meticulous and experienced Senior data modeler to join our talented data Architecture group & be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL) such as Big data Platform. Projects are meant to cover broad spectrum of regulatory demands, including liquidity risks associated with prime services, intercompany flows and matchbook activities and cover various models around equities, fixed income and derivatives.


Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Design and implement effective database solutions and models to store and retrieve company data.
Create Data Architectural related diagram using Visio under supervision of Chief data Architect
Examine and identify database structural necessities by evaluating client operations, applications, and programming.
Assess database implementation procedures to ensure they comply with internal and external regulations.
Prepare accurate database design and architecture reports for management and executive teams.
Oversee the migration of data from legacy systems to new solutions.
Recommend solutions to improve new and existing database systems.
Educate staff members through training and individual support.
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Responsible for design, development, code review and at times writing complex modules/code
Work effectively with global teams to leverage existing systems and solutions
Demonstrate ownership and initiative taking
Help build continuous integration environment
Provide solution architecture for data feeds, data acquisition and reporting
As and when required, work on BAU development requests


13yrs of overall IT experience
8years of IT experience in architecting design, implementation of large scale big data based solutions including real time processing.
5years of experience as a platform Architect role and extensive experience on data modeling and designing data architecture
5years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge and experience on implementation of metadata management, data modeling, and related tools required for analytical platform
Experience in design and developing data concepts like Data Lineage, Data Cataloging, Meta data Management, data integration
Hands-on experience working with Relational and NoSQL databases such as DB2, Cassandra, HBase, etc
Experience in design, solution architecting
Working experience on Unix (Solaris/Linux)
Experience in Database, Data Management, Distributed Data Management
Experience in design, solution architecting
Experience in Data and Reporting Frameworks
Experience on working on Hadoop/Big Data
Perform Unit Testing, Performance/Load Testing all applications developed / enhancements
Right attitude to gel well with the technology team locally/globally
Excellent analytical and troubleshooting skills is a must
Experience in Finance Industry a plus


Bachelors degree/University degree or equivalent experience
Masters degree preferred
Min 13 to 16 Years.

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