Executive - Inside Sales

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring operations and technology interns interested in data modeling, workflow automation, cloud platforms, and business intelligence. The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process.

Responsibilities:

• Assist with day-to-day operations and administrative tasks across technology and HR functions.
• Support data modeling and validation tasks to improve business tracking.
• Collaborate on ETL processes and help streamline data collection from internal and external systems.
• Work with cloud platforms (AWS, GCP, Azure) and databases (PostgreSQL, MySQL, MongoDB) for basic data-related tasks.
• Partner with analysts and developers to improve data accessibility and operational efficiency.
• Document workflows, maintain trackers, and update internal systems to ensure process accuracy.
• Assist with troubleshooting and process improvement initiatives.

Please send your resume to talent@springercapital

Role & Responsibilities

drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives — ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities-

• Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
• Engage with Business Stakeholders: Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.
• Value Chain Understanding: Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.
• Conceptual and Logical Modeling: Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.
• Physical Data Modeling: Design and implement physical data models optimized for performance and scalability
• Semantic Layer Design: Create semantic models that enable business access to data via BI tools and data discovery platforms.
• Data Standards and Governance: Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
• Implement naming conventions, data standards, and metadata definitions across all models.
• Collaboration with Data Engineering: Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.
• Manage version control, lineage tracking, and change documentation for models.
• Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.
• Create and maintain a business glossary in collaboration with the governance team.

Ideal Candidate

• Strong Enterprise Data Modeller profile (Modern Data Platforms)
• Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
• Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
• Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
• Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
• Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
• Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Preferred (Experience 1) – Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.
• Preferred (Experience 2) – Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.
• Preferred (Data Management) – Understanding of master data management (MDM) and reference data management principles.
• Preferred (Domain) – Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models

Strong Databricks Architect Profile with end-to-end Lakehouse ownership

2

Mandatory (Experience 1) – Must have 10+ years of software engineering experience with atleast 5+ years in Data Engineering with hands on exposure to Databricks and strong ownership of end-to-end data pipeline development.

3

Mandatory (Experience 2) – Must have atleast 5+ years of expertise across the Databricks ecosystem — Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Workflows, Unity Catalog

4

Mandatory (Tech skill 1) – Must have worked at architecture level, owning end-to-end design through deployment

5

Mandatory (Tech skill 2) – Must have strong experience with Python and SQL for data processing and Apache Spark for performance tuning & scalability

6

Mandatory (Tech skill 3) – Must have experience in large-scale data warehousing & advanced data modeling (3NF and dimensional) across batch and real-time systems

7

Mandatory (AI Exposure) – Must have at least a basic working understanding of how AI services or tools work

8

Mandatory (Communication) – Must have strong stakeholder management & requirement-gathering experience with US or UK clients

9

Mandatory (Company) – Must come from a B2B IT services or IT consulting background

10

Mandatory (Note) – CTC is inclusive of 5% variable

11

Preferred (Tech skill 1) – Azure Databricks or Azure data services experience (project runs on Azure DevOps)

12

Preferred (Tech skill 2) – MLflow or MLOps practices and AI use cases (RAG, AI/BI)

13

Preferred (Tech skill 3) – CI/CD, Databricks Asset Bundles (DABs) or equivalent packaging, Terraform or IaC, reusable deployment templates

14

Preferred (Integrations) – ServiceNow or enterprise system integrations

15

Preferred (Certifications) – Databricks (Data Engineer Associate or Professional, ML or GenAI tracks), Azure or AWS cloud certifications

Role: Golang Developer

Experience: 4+Years

Work Location: Mumbai(Kanjurmarg)

Notice Period: Immediate

Required Skills

• Golang: 4+years hands-on experience building production services.
• API Protocols: REST/JSON, gRPC, protobuf; API versioning and backward compatibility.
• Architecture: Clean Architecture, DDD (aggregates, repositories), SOLID, hexagonal architecture.
• Databases: PostgreSQL/MySQL; indexing, query optimization, transactions, isolation levels, migrations (e.g., golang-migrate).

Nice-to-Have

• Event-driven systems (Kafka/RabbitMQ), CQRS and Saga patterns.
• Concurrency: Goroutines, channels, sync primitives (mutex, wait groups), context cancellation, worker pools.
• Containers & Cloud: Docker, Kubernetes; familiarity with AWS/GCP/Azure (IAM, networking, managed DBs).
• CI/CD & Git: Branching strategies, automated tests, code quality checks, artifacts.
• Caching (Redis/Memcached), rate limiting, and feature flags.
• Security: OAuth2/OIDC, JWT, mTLS, secrets management (Vault/SSM).
• Infrastructure as Code (Terraform), Helm charts.
• Experience with performance tooling.

Education

· Bachelor’s in Computer Science/Engineering

Position: UiPath Developer

Experience: 3-7 years

Key Responsibilities:

1. Develop and implement automation solutions using UiPath.

2. Design, develop, test, and deploy RPA bots for process automation.

3. Write and optimize SQL queries, including joins, to manage and manipulate data effectively.

4. Develop scripts using Python, VB, .NET, or JavaScript to enhance automation capabilities.

5. Work with business stakeholders to analyze and optimize automation workflows.

6. Troubleshoot and resolve issues in RPA processes and scripts.

7. Ensure adherence to best practices in automation development and deployment.

Required Skills & Experience:

1. 3-7 years of experience in RPA development with UiPath.

2. Strong expertise in SQL, including writing complex queries and joins.

3. Hands-on experience with at least one scripting language: Python, VB, .NET, or JavaScript.

4. Understanding of RPA best practices, exception handling, and performance optimization.

5. Experience integrating UiPath with databases and other applications.

6. Strong problem-solving and analytical skills.

Preferred Qualifications:

1. UiPath certification is a plus.

2. Experience working in Agile environments.

3. Knowledge of APIs and web automation (AA).

∙

Good experience in 5+ SQL and NoSQL database development and optimization. 

∙Strong hands-on experience with Amazon Redshift, MySQL, MongoDB, and Flyway. 

∙In-depth understanding of data warehousing principles and performance tuning techniques. 

∙Strong hands-on experience in building complex aggregation pipelines in NoSQL databases such as MongoDB. 

∙Proficient in Python or Scala for data processing and automation. 

∙3+ years of experience working with AWS-managed database services. 

∙3+ years of experience with Power BI or similar BI/reporting platforms. 

• 5-7+ years of commercial Java development experience
• Experience with well known Open Source frameworks/libraries, like Spring Boot
• Work experience with Docker
• Microservice experience
• Experience with AWS like ECS, Lambda, SQS, RDS, Kinesis streams
• Familiar with iterative development
• Upper-intermediate level of English
• Solid understanding of communication and network protocols (TCP/IP, HTTP).
• At ease with Unix/Linux
• Excellent analytical and debugging skills
• Familiar with both SQL and noSQL databases (MySQL, DynamoDB, Memcached, Redis)
• Practical experience with scaling applications to big user numbers is a plus
• Experience with other programming languages is a plus.

Location               Madurai/Hyderabad/Vijayawada/Bangalore

Job Title               Branch Manager

Reporting to        CEO & Principal Officer

ROLE SUMMARY

Branch Manager would be responsible for the complete management/operations of the Branch Office on all parameters including but not limited to Business Development and achievement of business targets, Operations, Underwriting, Claims, and General Administration.

DUTIES & RESPONSIBILITIES

• Responsible for significant growth in the overall business volumes of TTI by acquiring new customers from segments viz., MSME, Corporates and HNI customers
• Identify new customers and focus on them to position TT Insurance as a knowledge-based insurance intermediary
• Work closely with the Sales Team and act as a bridge between the customer/sales and the insurance company/corporate office to arrive at meaningful solution on the risks being offered
• Should have a keen eye on the technical aspects of all general insurance products and be able to articulate the same with the insurance company and Clients.
• Supervise the functioning of the BDM’s and Office Assistant and ensure that the service levels on RFQ’s, Policy Issuance and Claims Management are handled in a professional manner without violating any of the provisions of IRDAI regulations
• Be aware of the constant changes in the insurance environment and new products being introduced by insurance companies
• Review the functioning of the team members and initiate corrective steps if any, after discussing the same with the Principal Officer.

EDUCATIONAL QUALIFICATION & COMMUNICATION SKILLS

• Any Bachelor’s Degree from an UGC approved University.
• Fluent in written & spoken English.
• Should have good verbal communication skills in any two Regional Languages viz., Tamil, Telugu, Kannada etc., 
• IRDAI Broker Qualified Person with valid certificate from National Insurance Academy would be an added advantage.

WORK EXPERIENCE

• Minimum 5-8 years of insurance domain experience in Sales/Underwriting/Claims etc.
• Good knowledge and exposure to all the General Insurance Products viz., Fire/ Marine/Engineering/Liability/Motor/Health & Miscellaneous
• Should have worked in a broking firm / insurance company / insurance department of a large corporate company

KEY SKILLS/COMPETENCIES

• Good Planning and execution skills
• Possess good interpersonal relationship
• Ability to convince the internal and external stake holders on technical aspects
• Be Innovative /resourceful with an eye on rapid changing environment