Sr. Tech Lead

2 weeks ago


Indore, India YASH Technologies Full time

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 Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product.

Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products, analyse various frameworks/tools, review the code & provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Architecture tools and frameworks:

Working knowledge of architecture Industry tools & frameworks.

Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles:

Working knowledge of architectural elements, SDLC, methodologies.

Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability: Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration: Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility: Demonstrates readiness for change, asking questions and determining how changes could impact own work.

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

Communication: Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results: Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict: Displays sensitivity in interactions and strives to understand others’ views and concerns.

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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