Data Scientist

Job Title : Junior ELK Data Engineer

Experience Required : 3+ Years

Location : Bangalore (Work From Office / Hybrid as per project requirement)

Job Type : Full-Time

Joining : Immediate Joiners only

Job Summary :

We are seeking a Junior ELK Data Engineer with over 3 years of hands-on experience in the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats).

The ideal candidate will help design, develop, and optimize scalable data ingestion, indexing, and visualization solutions, contributing to the development of high-performance observability and analytics platforms for real-time monitoring and analysis.

Mandatory Skills :

Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), real-time data ingestion, dashboard development, log processing, search optimization, system observability.

Key Responsibilities :

• Build and maintain data pipelines using Logstash, Beats, and Elasticsearch for real-time log ingestion and processing.
• Design and develop Kibana dashboards for effective visualization and alerting across various data sources.
• Optimize indexing strategies for large-scale distributed systems to ensure high search performance and reliability.
• Collaborate with DevOps and SRE teams to enable effective observability and monitoring solutions.
• Analyze system performance and troubleshoot issues related to logging and monitoring pipelines.
• Assist in configuring and maintaining ELK stack components in production and development environments.

Preferred Qualifications:

• Experience in handling distributed systems logs and metrics at scale.
• Familiarity with scripting (Python/Shell) for data manipulation or automation.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Understanding of containerized environments like Docker/Kubernetes.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Salesforce Developer (Classic to Lightning Migration)

Shift: Afternoon / Night (Work from Office)

Locations: Bangalore | Mumbai | Pune | Hyderabad | Mohali | Panchkula

Working Days: 5 Days

About the Role:

We are looking for an experienced Salesforce Developer to support the Client’s project migration from Salesforce Classic to Lightning. The ideal candidate will have hands-on experience in Lightning configuration, customization, and integrations, along with strong problem-solving and communication skills.

Key Responsibilities:

• Assist in the end-to-end migration from Classic to Lightning Experience.
• Work closely with technical leads and architects to implement scalable and efficient Lightning solutions.
• Redesign and optimize existing data models, replacing unnecessary custom objects with standard Salesforce entities like Leads and Opportunities.
• Configure Lightning features such as Dynamic Forms, Lightning Pages, Flows, and Omni-Channel.
• Build and maintain Apex classes, triggers, Lightning Web Components (LWC), and integrations as needed.
• Collaborate with admins, QA, and business stakeholders to ensure timely and quality delivery of enhancements.
• Ensure adherence to security best practices, including profiles, permission sets, and sharing rules.
• Contribute ideas to improve system usability and reduce custom technical debt.

Qualifications & Skills:

• 6 years of Salesforce development experience.
• Strong exposure to Salesforce Lightning (Aura / LWC) and Classic-to-Lightning migration projects (At least 3 years).
• Solid understanding of Service Cloud and Case Management processes.
• Experience with Flows, Dynamic Actions, AppExchange tools, and low-code/no-code configurations.
• Proficiency in Apex, Visualforce, SOQL, REST/SOAP APIs, and Integration patterns.
• Salesforce Platform Developer I (mandatory), Developer II or Application Architect (preferred).
• Excellent communication skills and ability to work in a cross-functional, global environment.

• 5+ years full-stack development
• Proficiency in AWS cloud-native development
• Experience with microservices & async architectures
• Strong TypeScript proficiency
• Strong Python proficiency
• React.js expertise
• Next.js expertise
• PostgreSQL + PostGIS experience
• GraphQL development experience
• Prisma ORM experience
• Experience in B2C product development(Retail/Ecommerce)
• Looking for candidates based out of Bangalore only

CTC: up to 40 LPA

If interested kindly share your updated resume at 82008 31681

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare https://resources.workable.com/contract-administrator-job-description">sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers
• Develop entry level staff into valuable salespeople 

1. Should have deep knowledge in the relevant tech stack (JAVA, MEAN, MERN, LAMP, etc.,) with Micro-services experience.

2. Must be well versed with algorithms

3. Should have in-depth knowledge of databases - SQL, NoSQL, Mongo DB.

4. Should be able to suggest the best stack and provide an optimized approach to complete a project.

5. Should be able to covert requirements into sprint plans and estimations.

6. Should be able to jump on client calls and translate and break down business level requirements into developer goals/sprints.

7. Should be able to step in and code/solve problems when required

8. Should be able to review the code of the developers and objectively define points for improvement

9. Should be willing to learn new stacks and spend a lot of time on RnD

10. Should be able to get things done :)

11. Should be able to assess risks involved in the projects.