Role & Responsibilities
- Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
- Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
- Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
- Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
- Define and implement CI/CD pipelines for infrastructure and data platform deployments
- Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
- Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
- Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
- Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
- Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
- Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.
Ideal Candidate
- Strong Databricks / AWS Data Architect profile
- Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
- Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
- Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
- Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
- Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
- Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
- Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
- Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
- Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
- Preferred (Company) – Product Companies.
- Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools
Shubham Vishwakarma
Full Stack Developer - Averlon
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Spring BootStrong Java Backend Engineer.
Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)
Mandatory (Experience 2): Must have been a SDE-3 or SDE-2 for at least 2.5 years in a Decacorn(title should be there in resume)
Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture
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Mandatory (Tech skill 3): Experience with relational and NoSQL databases
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Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling
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Lead SDET/QA Test Automation Engineer – AI Platforms (Agentic AI)
📍 Hyderabad, India | Full-Time | On-site / Hybrid
📈 Experience: 6–10 Years
The Role
We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.
This is an 80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.
What You'll Do
Quality Architecture
- Define company-wide quality strategy.
- Architect automation frameworks from the ground up.
- Establish testing standards and engineering practices.
AI Systems Testing
Own validation strategies for:
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- Voice AI Platforms
- Conversational AI
- Agentic Systems
- Multimodal AI
Build frameworks for:
- Hallucination testing
- Safety testing
- Regression detection
- AI performance measurement
Automation Engineering
Drive testing across:
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- Mobile Applications
- Distributed Systems
- Performance Engineering
Leadership
- Mentor and guide engineers.
- Drive engineering excellence.
- Influence release and architecture decisions.
What We're Looking For
- 6–10 years in SDET or QA Automation.
- Strong product engineering background.
- Expert-level coding in Python and Java.
- Deep expertise in:
- Selenium
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- Appium
- PyTest
- TestNG
- REST Assured
- Strong understanding of:
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- System Design
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- SDLC
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Why Join Us?
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Data Analytics
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Analytics:
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● Work with business teams to prioritize business and information needs
● Collaborate with engineering and product development teams to setup data infrastructure as needed
Reporting and communication:
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● Setup live dashboards reporting key cross-functional metrics
● Coordinate with various stakeholders to collect useful and required data
● Present findings to business stakeholders to drive action across the organization
● Propose solutions and strategies to business challenges
Requirements sought:
Must haves:
● Bachelor’s/ Masters in Mathematics, Economics, Computer Science, Information Management, Statistics or related field
● High proficiency in MS Excel and SQL
● Knowledge of one or more programming languages like Python/ R. Adept at queries, report writing and presenting findings
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - working knowledge of statistics and statistical methods
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coordinating with different departments and managing timelines
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Good to have:
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Java
C#
Vue.js
AngularJS (1.x)
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React.js
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Vue.jsAngularJS (1.x)Angular (2+)React.jsJavascriptExperience : 10+ years
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Implementation of the stories, tasks of the current sprint designed by the 'product owner' mainly in the JIRA. |
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Design and drive execution of strategic technologies solutions against technical raodmap |
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Collaboration with the Organisation on current and future state architcture including cloud |
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Guiding Junior developers on best practices for code management and automation testing and bhaviour driven design |
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Contributing to team standards and improving processes |
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Enable implementation of long term strategies towards migrations to cloud architecture |
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Performing hands on development in agile squad |
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Perform the role of Scrum master in teams in tests (including unit + integration testing), SW designs and solutions |
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Helping the team to make it available your work in good quality in time. |
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Angular 4+ |
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Typescript |
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GIT |
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Mandatory Skills (Backend): |
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Java |
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Cloud Services (AWS/GCP/AZURE) |
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Spring Boot & Spring Data JPA |
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PostgreSQL |
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REST Services |
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Mandatory Skills (Tools): |
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Kubernetes |
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Maven/Gradle |
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Jenkins Pipeline |
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Other technical skills ( nice to have) |
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Security Enabled Cloud |
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Scrum |
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Soft skills |
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Strong communication (German/English) |
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Team Player |
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React NativeAngular (2+)
Flutter
Android Development
iOS App DevelopmentThe Role
We are looking for an experienced Software Engineer (React Native) who will lead the development for Jackett's mobile apps. Each day you'll design, build and ship features that will directly improve teachers' lives. You will shape our product direction and technical architecture for the years to come.
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Extra Credits for:
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Essential Job Functions:
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* Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. The function is considered essential if the reason the position exists is to perform that function.
Supportive Job Functions:
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Knowledge, Skill, and Abilities:
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Laravel
CodeIgniterJavascript
HTML/CSSAngular (2+)- Very strong in HTML & mobile techniques;
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HTML/CSS
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Full Stack Developer - Averlon