Tech Lead

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 Microsoft Fabric Professionals in the following areas :

8+ Years

Position: Data Analytics Lead.
Experience: 8+ Years.

Responsibilities:

•    Build, manage, and foster a high-functioning team of data engineers and Data analysts.

•    Collaborate with business and technical teams to capture and prioritize platform ingestion requirements.

•    Experience of working with manufacturing industry in building a centralized data platform for self service reporting.

•    Lead the data analytics team members, providing guidance, mentorship, and support to ensure their professional growth and success.

•    Responsible for managing customer, partner, and internal data on the cloud and on-premises.

•    Evaluate and understand current data technologies and trends and promote a culture of learning.

•    Build and end to end data strategy from collecting the requirements from business to modelling the data and building reports and dashboards 

Required Skills:

•    Experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse / Microsoft Fabric / Azure Databricks

•    Accountable for the data group's activities including architecting, developing, and maintaining a centralized data platform including our operational data, data warehouse, data lake, Data factory pipelines, and data-related services.

•    Experience in designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc

•    Strong understanding of data architecture, data modelling, and ETL processes.

•    Proficiency in SQL and Pyspark

•    Strong knowledge of building PowerBI reports and dashboards.

•    Excellent communication skills

•    Strong problem-solving and analytical skills.

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 and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
• Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

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.

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.

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