Technogen India Private Limited
Location
Secunderabad | India
Job description
Data Modeler (Analytical Systems)
Our ideal Data Modeler has advanced knowledge of application, data, and infrastructure
disciplines. You'll use your skills to implement data strategies, build data flows, and develop
conceptual data models. You're capable of working independently and communicating
effectively to provide feedback on policies, procedures, processes, and standards. The team
culture of working collaboratively, cross-functionally, using new technologies combined with
the work/life balance provided by MassMutual are core reasons people enjoy working on the
Data Engineering team at MassMutual.
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Objectives of this role
Manage database design and data models for a specific application.
Analyze existing data and recommend changes that lead to a reduction of stored data without
impacting business requirements.
Daily and monthly responsibilities
Perform as a technical data steward – understanding tables, data use, data replication, data
connection, and data lineage – and take accountability for data hygiene.
Review existing data model and recommend changes to optimize data requirements.
Analyze source system data and look for data redundancy and duplication.
Work with Application Architects to review exiting data models and suggest action to reduce
input data for storage optimization.
Work with the development team to implement data strategies, build data flows, and develop
conceptual data models.
Create logical and physical data models using best practices.
Delivers and provides feedback for data modeling policies, procedure, processes and
standards.
Assists with capturing and documenting system flow and other pertinent technical information
about data, database design, or systems.
Basic Qualifications
Bachelor's degree in computer engineering, computer science, information systems, or related
field.
8+ years experiences with data analytics, data modeling or data architecture and database
design.
Experience in data modeling or data architecture in transactional and operational reporting
and analytical (EDW, Data Lake, NoSQL) solutions.
l Experience with capacity planning, database scripting and package deployment
l Good knowledge of data replication methodology.
l Good knowledge of data warehouse, data mart and Data Lake
l Experience with AWS and cloud-based databases and data warehouses.
l Authorized to work in the United States with or without sponsorship now or in the future.
Preferred Qualifications
l Advanced knowledge of application, data and infrastructure disciplines.
l Experience with Vertica Database.
l Experience with Life Insurance or any insurance related products
l Expertise in tuning and debugging SQL and resolving application specific bottlenecks.
Experience facilitating meetings and providing presentations to stakeholders and senior
leaders.
l Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling.
Data modeling, data warehousing, dimensional modeling, data modeling for big data and
metadata management.
l Data Lake and Big Data modeling experience.
l Excellent communication, problem solving, organizational and analytical skills
Understanding of enterprise and reporting modeling concepts, including dimensional
modeling, snowflakes, slowly changing dimensions, schema on read, irregular dimensions,
and surrogate, compound and intelligent keys.
Advanced degree in computer engineering, computer science, information systems, or related
field.
l Able to work independently.
l Experience with Hadoop, Spark, and Kafka
l Experience with Scala
l Strong communication and interpersonal skills.
l Ability to present design of the solution to various stakeholders.
l Experience in data modeling and design in the insurance and financial industries
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