Product Manager

Key Responsibilities

• Develop, test, and maintain applications using .Net/C# and Azure technologies.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automation.

Job Description:

Minimum 6+ years of experience building global enterprise level systems

Extensive experience developing complex distributed event-based microservices using C#/.Net Core

Knowledge with containerisation (Docker, Kubernetes)

Experience with cloud platforms (Azure, AWS)

Exposure with distributed messaging / streaming platforms (Apache Kafka)

Involvement building CI/CD pipelines (ideally Azure DevOps)

Excellent knowledge of Relational Databases SQL and No-SQL databases

Strong knowledge on Batch monitoring and scheduling experience of any of Control-M, autosys, D-Series scheduler tools. ?Build and validate job flows, calendar requirements, and scheduling criteria. ?Must be able to analyze business requirements procedures and problems to smooth migration of jobs flows and scheduled systems ?Should actively involve for any batch related issue and provide the fix before SLA. ?Knowledge of ITSM tools like service now, JIRA & Incident/Change Request process. ?Willing to provide the 24/7 support ?Ability to work on Mass schedule changes without any scheduling issue. ?Should perform Holiday schedule changes. ?Should know how to define or change the report. Analyzing schedule dependencies and interfacing with application support teams. Scheduling different kinds of batch production job flows including daily, weekly, monthly, quarterly yearly schedules. Scheduling setting up testing jobs for the scheduling test system. Process Skills: ?Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive Interest in designing, analyzing, and troubleshooting large-scale distributed systems. ?Should be able to provide training and KT to staff members of Control-M. ?Knowledge of Incident and Change management process as per ITIL. ?On-call support and handling issues as per business priority Behavioral Skills: Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project. Proven ability in developing relationships with stakeholders, understanding detailed business requirements across multiple project initiatives Ability to steer technology direction and provide appropriate training to the team. Good attitude, learning skills. Technical skills : PRIMARY COMPETENCY : production support PRIMARY SKILL : Control M, Autosys, D-Series , SQL, Linux, Service Now. SECONDARY COMPETENCY : MARKIT EDM.

• Responding to escalated customer issues from L1 Customer Support Specialists.
• Excellent communication skills, especially related to relaying information between technical and non-technical parties
• Working closely with support and Level 3 teams.
• Building a deep technical knowledge of our product capabilities for both the front and back end.
• Escalating issues when required according to defined escalation paths.
• Maintaining a high level of professionalism with internal teams and customers and working to establish a positive rapport.
• Participation in standard product management processes (grooming sessions, stand-ups, etc. ) related to the resolution of customer-facing issues
• Work continuously to document product and technical knowledge.
• Responsible for driving L2 and L3 cases to closure meeting "case to closure" and "customer satisfaction" deliverables

• Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
• Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
• Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
• Periodic Database health check and maintenance
• Designing collections in a no-SQL Database for efficient performance
• Document & maintain data dictionary from various sources to enable data governance
• Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
• Data Governance Process Implementation and ensuring data security

Requirements

• Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
• Programming experience using Python / Java.
• Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
• Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
• Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
• Extensive technical experience in SQL including code optimization techniques.
• Strung knowledge of database performance and tuning, troubleshooting, and tuning.
• Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
• Ability to understand business functionality, processes, and flows.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Any OLAP DWH DBA Experience and User Management will be added advantage.
• Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
• Experience in Snowflake will be added advantage.
• Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.

Functional knowledge

• Data Governance & Quality Assurance
• Modern OLAP Database Architecture & Design
• Linux
• Data structures, algorithm & data modeling techniques
• No-SQL database architecture
• Data Security