Job Description

Key Responsibilities

- Note: Resources should be familiar with Iceberg Tables.
- Design, develop, and maintain scalable data pipelines using AWS services.
- Build and optimize ETL/ELT workflows for structured and unstructured data.
- Implement data ingestion solutions using AWS Databricks.
- Develop and manage data lakes and data warehouse solutions on AWS.
- Create and maintain data models, transformations, and processing frameworks.
- Implement data governance, data quality, security, and compliance controls.
- Monitor and optimize data platform performance, scalability, and cost.
- Develop reusable frameworks and automation for data orchestration and deployment.
- Troubleshoot data-related issues and provide production support.

Data Engineering and Data Builder :
• Build Bronze, Silver and Gold data assets
• Develop reusable enterprise data products
• Create pipelines, transformations and data integrations
• Implement CI/CD, monitoring and operational support of use cases through MVP
• Operationalize MVP solutions into production-ready assets

Required Technical/ Functional 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 easy 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.

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

📌 Tech Lead - Databricks + AWS Job (India)
🏢 Yash Technologies
📍 India