Business Development Executive

We are looking for an experienced Data Modeler with strong expertise in Conceptual, Logical, and Physical Data Modeling across enterprise-scale data platforms. The ideal candidate will have hands-on experience designing data solutions for Data Warehouses, Data Lakes, Lakehouses, Data Marts, OLTP, and OLAP systems, along with deep exposure to dimensional and enterprise data modeling methodologies.

The role requires close collaboration with business stakeholders, architects, engineering teams, and leadership to design scalable, high-performance, and governance-driven data ecosystems.

Key Responsibilities

Data Modeling & Architecture

• Design and maintain Conceptual, Logical, and Physical Data Models for enterprise applications.
• Develop scalable models for:
• Data Warehouses
• Data Lakes & Lakehouses
• Data Marts
• OLTP & OLAP systems
• Create ER diagrams using tools such as:
• ERwin
• ER/Studio
• Enterprise Architect
• PowerDesigner
• Implement:
• Entity-Relationship Modeling
• Data Vault Modeling
• Dimensional Modeling
• Suggest optimal modeling approaches based on business requirements and target architecture.
• Define and enforce enterprise data modeling standards and best practices.

Data Management & Governance

• Perform:
• Data Extraction
• Data Analysis
• Data Cleansing
• Data Mapping
• Data Profiling
• Create and maintain:
• Source-to-Target Mapping documents
• Data Dictionaries
• Functional Specifications
• Champion:
• Data Lineage
• Metadata Management
• Data Quality Analysis
• Data Governance standards
• Define data retention policies and automated anomaly detection mechanisms.

Collaboration & Delivery

• Collaborate with:
• Business Stakeholders
• Data Owners
• Business Analysts
• Architects
• Data Engineers
• QA Teams
• Guide teams on:
• Data ingestion logic
• Ingestion frequency
• Data consumption patterns
• Testing strategies
• Monitor project progress and provide updates to leadership on milestones and blockers.
• Mentor junior team members and provide technical guidance on analytics design patterns.

Platform & Engineering Support

• Build scalable ETL/ELT pipelines for large-volume data movement.
• Work with DBAs and Engineering teams to optimize physical data models.
• Support model-driven development and repository management.
• Troubleshoot production data model and service issues.
• Research and recommend modern data management technologies and engineering practices.

Required Skills & Experience

Experience

• 4+ years of experience in enterprise data modeling and analytics environments.
• Experience working with hybrid data ecosystems involving:
• Relational Databases
• Distributed Data Platforms
• Cloud-based Data Systems

Technical Skills

• Strong understanding of:
• Data Warehousing concepts & architecture
• OLTP and OLAP systems
• Data Governance & Data Quality
• Industry Data Models (e.g., ACORD)
• Experience designing complex dimensional data models.
• Exposure to ETL tools and data ingestion frameworks.
• Hands-on experience with cloud platforms:
• AWS
• Azure
• GCP

Data Modeling Tools

Experience with one or more of the following:

• ERwin
• PowerDesigner
• ER/Studio
• Enterprise Architect
• MagicDraw
• Business Glossary tools

Leadership & Communication

• Experience leading large teams and enterprise projects.
• Strong stakeholder management and client-facing experience.
• Excellent verbal and written communication skills.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Strong analytical, troubleshooting, and problem-solving skills.
• Familiarity with Agile methodologies.

Preferred Qualifications

• Experience with Data Vault architecture.
• Experience in insurance industry data models such as ACORD.
• Exposure to metadata-driven and automation-first data engineering practices.
• Experience building semantic layers for BI and analytics solutions.

Mandatory

Exposure to the Trading and financial investment banking domain

All technical competencies are mandatory, and no relaxations/exceptions can be given.

Technical skills

Cloud computing (IaaS, PaaS, SaaS) -preferably in AWS

Compute/Container/Orchestration technologies (Docker, Kubernetes, ECS, EKS, Lambda/Serverless etc.)

Microservices & multi-tier architectures

DevOps/CI/CD (GIT/Bitbucket, Maven, Gradle, Jenkins, Sonar) GitLab is preferable

Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud) & Python

RDBMS systems sucah as MySQL , Postgres and NoSQL, Storage Technologies (S3, EBS etc.)

API – GraphQL, REST, API Gateway

Integration and events/messaging technologies (Kafka, RabbitmQ, SNS, SQS)

Caching Solutions such as Elasticache/Redis, Hazelcast, EHCache

Observability and monitoring (Dynatrace, Cloud Watch, Grafana, Splunk, Datadog)

Very good understanding on Agile software releases and hands-on

Experience in project management tools like JIRA

Educational Qualification

Bachelor’s degree in computer science engineering/ECE/EEE, IT or MCA, MSc Computer Science

About this roleWe are seeking an experienced MongoDB Developer/DBA who will be

responsible for maintaining MongoDB databases while optimizing performance, security, and

the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in

ensuring our data infrastructure runs smoothly.

You'll have the following responsibilities

 Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,

maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the

database setup and architecture.

 Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide

consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.

 Service and Governance wrap will be in place to restrict over provisioning for server size,

number of clusters per project and scaling through MongoDB Atlas

 Gathering and documenting detailed business requirements applicable to the data

layer.Responsible for designing, configuring and managing MongoDB on Atlas.

 Design, develop, test, document, and deploy high-quality technical solutions on the

MongoDB Atlas platform based on industry best practices to solve business needs.

Resolves technical issues raised by the team and/or customer and manages escalations as

required.

 Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate

and collaborate with other technical resources and customers in providing timely updates

on status of deliverables, shedding light on technical issues, and obtaining buy-in on

creative solutions.

 Write procedures for backup and disaster recovery.

You'll have the following skills & experience

 Excellent analytical, diagnostic skills, and problem-solving skills

 Should understand the Database concept and develop expertise in designing and

developing NoSQL databases such as MongoDB

 MongoDB query operation, import and export operation in database

 Experience in ETL methodology for performing Data Migration, Extraction,

Transformation, Data Profiling and Loading

 Migrating database by ETL, migrating database by manual process and designing,

development, implementation

 General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,

subnets, routing tables, nat / internet gateways, dns, security groups)

 Experience using Terraform as an IaC tool for setting up infrastructure on AWS

CloudPerforming database backups and recovery

 Competence in at least one of the following languages (in no particular order): Java, C++,

C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go

 Excellent communication skills, often being able to compromise but draw out risks and

constraints associated with solutions. Be able to work independently and collaborate with

other teams

 Proficiency in configuring schema and MongoDB data modeling.

 Strong understanding of SQL and NoSQL databases.

 Comfortable with MongoDB syntax.

 Experience with database security management.

 Performance Optimization - Ensure databases achieve maximum performance and

availability. Design effective indexing strategies.

theSound is a multi-dimensional organization specializing in three spaces - marketing consulting, artist and celebrity management, and unique offline experiences.

We are a new-age marketing consulting firm. We specialize in helping brands figure out how to market themselves and make potential customers fall in love with them, and make existing customers fall hopelessly in love. We do this by creating really-really fresh marketing plans, campaigns and content. We also go the entire mile by providing branding, social media management, content, creative collateral, and offline events. Phew.

We also manage a set of inspiring and seasoned celebrities who are available to provide guest talks across a range of topics and conduct masterclasses and workshops for the employees and customers of organizations.

We ALSO work with various eclectic (trust us when we say that) artists, from musicians to magicians and (mostly) everything in between, to create unique offline experiences for brands. In other words, we are not a black and white event management company.

(https://www.thesound.party/" target="_blank">https://www.thesound.party/)

• Assisting and coordinating with operations team
• supporting administrative staff
• conducting marketing research
• documentation and reporting to the operations department
• preparing reports on competitor product analysis
• ensuring if everything is working in a perfect manner
• using technology to keep the company updated behind the curtains
• Should be responsible for efficient dealing of complaints to completion and enabling satisfaction of customer.
• Responsible for rendering useful administrative support to other members of the customer care team.
• Responsible for documenting all calls with regards to participant inquires accurately using Call Tracking System.
• Responsible for monitoring Call tracking for responses from administrative team so call returns are done in a timely fashion.
• Responsibility is to Follow-up with participants within a 24-hour period in regards to the initial phone call even if it is to just touch base and let participant know inquiry is still be researched.
• Responsibility is to answer participant questions, as well as question participants to obtain full understanding of what information is being requested.

Responsibilities: 

• Design and code efficient, scalable systems that can accept feedback from multiple hundred thousand employees and generate insights 
• Design efficient and scalable event driven systems to process complex machine learning pipeline
• Experiment with data to come up with unique insights and that can benefit our clients
• Identify libraries and technologies worth experimentation
• Participate in brainstorming sessions to bring more value to our clients
• Investigate performance issues / scalability bottlenecks, existing queries and/or write new queries with performance optimization in mind
• Develop RESTful APIs that can be used by frontend to show insights
• Debug and fix production level bugs as and when they crop up
• Support ad hoc data analytics upon requests by clients, and believe us nothing creates a better DB understanding than handling ad hoc data requests 

Requirements: 

• 3+ years of experience in architecture and developing high performance web applications 
• Experience with systems ingesting/processing high amounts of data is a plus 
• In-depth understanding of the entire web development process (design, development, and deployment) 
• Experience with SQL and NoSQL database 
• Working knowledge of RESTful API paradigms  
• Experienced in microservices architecture  
• Solid engineering principles and a clear understanding of data structures and algorithms
• Passion for products, empathy for users, and aspiration to make a big impact
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Job Description: