Sr. Tech Lead - Data Modeling Job

Pune, IN

Yash Technologies

YASH specialists provide information, establish contacts and build bridges between the local decision-makers in German companies and the YASH teams.

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YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

 

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

 

We are looking forward to hire Data Modeling Professionals in the following areas :

 

Experience

8-10 Years

Job Description

Must Have:
- 8-10 years of Senior data modelling resource who interfacing with business directly
- Drive the calls by asking the right questions to the business.
- Hands on Modelling experience
- Dim/Fact Modelling experience
- Strong communication skills
 
Good to Have:
- Data Vault Modeling
 
Roles and Responsibilities:
 
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads.
- Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business.
- Ensure the consistency, availability, understanding, and performance of data by following and improving best practices and standards for data modeling.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge:

  • Working knowledge of customer's business processes and relevant technology platform or product.
  • Able to analyze current-state and define to-be processes in collaboration with SME and present recommendations with tangible benefits.

Requirement Gathering and Analysis:

  • Specialized knowledge of requirement management processes and requirement analysis processes, tools & methodologies.
  • Extract requirements for complex scenarios and prototype independently.
  • Identify modules impacted, features/functionalities impacted and arrive at high level estimates.
  • Develop traceability matrix and identify transition requirements.

Product/ Technology Knowledge:

  • Implement code or configure/customize products, drive adoption of industry standards and practices, and contribute to development of reusable assets and innovative solutions.
  • Conduct technical sessions and knowledge sharing sessions, and work on complex modules independently.
  • Analyze various frameworks/tools and present recommendations, contribute to development of training and certification material, and demonstrate thought leadership through whitepapers and webinars.

Architecture tools and frameworks:

  • Specialized knowledge of architecture Industry tools & frameworks.
  • Implement tools & framework in a complex scenario.
  • Conduct tools & framework customization & tailoring workshop.

Architecture concepts and principles:

  • Specialized knowledge of architectural elements, SDLC, methodologies & customer business/domain.
  • Establish Architectural principles/ patterns and use advanced tools to capture and analyze system/ technical issues.

Analytics Solution Design:

  • In Depth knowledge of statistical & machine learning techniques.
  • Able to design analytical modelling approach for moderate-scale projects or for components of large-scale.
  • Understand business requirements & constraints including potential trade-offs between speed & accuracy, maintains trends.

Tools & Platform Knowledge:

  • Familiarity with the wide range of data science/analytics commercial and open source software tools, their constraints, advantages, disadvantages, areas of application and mainstream packages relevant to technical stages of data science/analytics projects.
  • Intermediate to advanced skills in programming languages used for data science/analytics and ability to apply these for data acquisition, pre-processing, modelling and model deployment. Ability to interpret and modify existing scripts and conduct quality checks.

Required Behavioral Competencies

Accountability:

  • Takes responsibility for and ensures accuracy of results and deadlines of the function and/or team and in completing own work.

Collaboration:

  • Reaches out to others in team to ensure connections are made and team members are working together.
  • Looks for ways to integrate work with other teams, identifying similarities and opportunities, making necessary changes in work to ensure successful integration.

Agility:

  • Demonstrates openness to the possibilities that change presents and begins to plan for how role may change.
  • Works with others to prepare for change.

Customer Focus:

  • Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

  • Communicates well-organized ideas, information, and data to broad and diverse audiences across the Organization (through formal and informal presentations).
  • Helps others identify their appropriate audience.

Drives Results:

  • Sets realistic stretch goals for self & others and perseveres to follow through with resilience and remains calm in a crisis or stressful situation to exceed organization/client expectation.

Resolves Conflict:

  • Identifies and understands the source of conflict, addresses, and overcomes.

Certifications

Mandatory

 

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

 

Our Hyperlearning workplace is grounded upon four principles

  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Agile Architecture Big Data Machine Learning Model deployment Open Source SDLC Statistics

Perks/benefits: Career development Flex hours Transparency

Region: Asia/Pacific
Country: India

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