Big Data Evangelist

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

We are hiring a Senior Data Engineer with strong expertise in Databricks, Azure Data Factory, and PySpark.

Must Have:

• Databricks, ADF, PySpark
• Mastery: AWS/Azure/SAP, ELT, Data Modeling
• Skills: Data Integration & Processing, GitHub/GitHub Actions, Azure DevOps, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest

Responsibilities:

• Build and optimize scalable data pipelines
• Architect & implement ELT/data models
• Manage data ingestion, integration, and processing workflows
• Enable CI/CD with DevOps tools
• Ensure code quality & reliability

Key Responsibilities

• Architect and maintain scalable end-to-end automation frameworks using Playwright and TypeScript to ensure high test coverage and reliability across complex web applications.
• Design and execute advanced SQL queries in PostgreSQL to perform backend data validation, ensuring data integrity and consistency between the UI and database layers.
• Apply robust system design principles to develop modular, reusable test components and service-level abstractions that minimize framework technical debt.
• Integrate automated test suites into CI/CD pipelines to facilitate continuous testing and provide rapid feedback on build stability and regression impacts.
• Collaborate with cross-functional engineering teams to conduct technical design reviews, identifying potential edge cases and architectural risks early in the SDLC.
• Mentor junior quality engineers on best practices for asynchronous programming in TypeScript and efficient selector strategies within the Playwright ecosystem.
• Analyze complex system requirements to create comprehensive test strategies that balance functional automation with performance and reliability benchmarks.

Success Metrics for this Role (first 6 months):

• Achieve maximum possible automation coverage for all high-priority regression test cases within the assigned functional module using Playwright and TypeScript.
• Reduce manual regression testing execution time by at least 40% through the implementation of optimized, parallelized test scripts and CI/CD integration.
• Design and implement a minimum of 5 complex utility functions or custom hooks in the Playwright framework to enhance code reusability and handle intricate PostgreSQL data validation workflows.
• Maintain a script stability rate of 90% or higher, ensuring that failures are due to genuine application defects rather than environment instability or flaky test logic.

Good-to-Have / Preferred Skills

• Proficiency in implementing and managing Continuous Integration and Continuous Deployment pipelines using tools like GitHub Actions, GitLab CI, or Jenkins.
• Experience with Docker and containerization strategies to ensure consistent execution of test suites across various environments.
• Understanding of cloud infrastructure services, specifically AWS or Azure, for scaling automated test execution and managing cloud-native databases.
• Mastery of API contract testing frameworks like Pact to ensure service compatibility within microservices architectures.

About the Role

Join the Blockchain Backend Infrastructure team and take a position in building and maintaining a leading blockchain management platform. You'll be responsible for building cutting-edge blockchain infrastructure while implementing high-throughput, real-time scalable software solutions.

As a Blockchain Engineer, you will be instrumental in the research and integration of blockchain technologies into the platform. Your responsibilities will include collaborating closely with foundations and developers to gain a deep understanding of blockchain protocols and on-chain projects, then applying that knowledge to implement new features within the platform.

You will focus equally on external protocol integration patterns and internal wallet infrastructure. This role serves as a technical bridge between raw on-chain capabilities and the wallet features delivered to customers.

What You'll Do

• Implement modern backend applications and infrastructure in a microservices architecture, using the latest technologies and development practices.
• Deep dive into the latest blockchain technology and become an expert in the fundamentals, protocols, and features of the chains we support.
• Collaborate effectively with developers, engineers, and other roles while demonstrating strong independent problem-solving abilities.
• Contribute to production reliability through on-call participation, incident response, and post-incident follow-ups.

What You'll Bring

• 5+ years of backend development experience in modern languages (Go, Python, JavaScript/TypeScript).
• 3+ years of hands-on blockchain development experience.
• Experience working on high-scale distributed systems.
• Understanding of microservices architecture and API design.
• Knowledge of consensus mechanisms, cryptographic primitives, and distributed systems.
• Strong problem-solving skills, attention to detail, and a collaborative mindset.

Preferred

• Experience building blockchain solutions for enterprise or institutional use cases.
• Understanding of security best practices for smart contracts and blockchain systems.
• Demonstrated ability to apply AI tools in day-to-day development.
• Understanding of MPC, multi-signature wallets, or other advanced cryptographic techniques.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with Docker, Kubernetes, and Helm.
• Location:
• - EU preferred or availability to travel to one of dev hubs in Europe once per quarter.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

Job requires you to possess the following skills and experience:

• Proficient in Drupal 8 and 9, including custom module development, key contributed modules and core API

• Familiarity with Web Services, Headless CMS and Cloud services.

• Preference will be given to candidates who are Acquia certified.

• Having 8 – 10 years of Drupal hands-on development experience.

• Proficient in the maintenance and administration of Drupal modules and sites.

• Experience integrating open source and third-party applications into existing systems.

• Knowledge of PHP 5.x & 7.x, PHP files and theme functions, and knowledge of the Drupal theme layer

• Solid understanding of AJAX, HTML, JQuery, JavaScript, and CSS

• Familiarity with source control systems such as GIT, Subversion, etc.

Job Responsibilities:

• Results-oriented, reliable, able to work under pressure with multiple projects

• Hire, Train and Coach a team Drupal engineers

• Ability to both collaborate with team members and to work independently

• Eager to embrace current and emerging web technologies

Project Experience:

Please share links to your Github profile, LinkedIn profile and portfolio.

Required experience:

• Responsible for architecting, designing and implementing new features and functionality

• Establishing and guiding the websites architecture

• Ensuring high-performance and availability

• Proven experience as a Technical Architect Lead

• Hands-on experience with software development and system administration

• Understanding of strategic IT solutions

• Experience in project management and service-oriented architecture (SOA)

• Managing all technical aspects of the Drupal CMS

• Excellent communication skills

• Problem-solving aptitude

• Organizational and leadership skills

• BE/ BTech/ MCA in Computer Science, Engineering or a related field