Senior Data Engineer

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.

Role: MIS Analyst

Location: Hyderabad

Experience Required: 4 to 8 Years

Key Skills:

MIS Analyst with 4 Plus Years of Experience.

Strong Experience in Pivot Tables.

Strong Experience in PowerPoint Presentation

Good Experience in Data Validation, Vlookup

Excellent Communication

Roles & Responsibilities:

Job Description:

• Adobe has three cloud solutions: Creative Cloud, Document Cloud and Marketing Cloud. As part of Adobe’s Global Business Direct (GBD) process, the Inbound Sales Manager (ISM) is responsible to handle the sales for two out of these: Creative Cloud and Document Cloud. Sales can be made through multichannel: inbound chats, calls and emails across different Geos like NA, EMEA and APAC. While new customer acquisition always remains a priority, an ISM also needs to be able to up-sell/cross sell to existing customers by way of consultative selling.
  
  Responsibilities:
  
  
• An Inbound Sales Manager is accountable for driving and generating revenue for the business unit working on inbound sales inquiries on phone calls or chats
• Deliver the quarterly target as assigned by the business and achieve growth on critical products like Adobe Sign, Substance and Stock
• Generate incremental revenue from the existing customers by up-selling additional products and services
• Understands pipeline management, working on opportunities/leads on SalesForce and be able to present a report on a weekly basis to the leadership team
• Maintain exceptional level of service quality through CSAT(Customer satisfaction)
• Identify opportunities where a product specialist team can be involved to increase the deal size. Set up and attend the demos with them
• Should be well versed with Adobe’s solution/products that he/she will be responsible to position or sell
  
  

Requirements:

• Graduation is a must for this role

• Should have excellent communication and presentation skills

• Proven quick learner, who can understand and be able to position Adobe products and newage Solutions

• An ideal candidate should be "passionate" about inside sales as a profession & a believer in the ideology that inside sales is the present & future of sales

• Should have the skills to engage a customer and seek more areas of revenue

realization(value selling Vs. Transaction selling)

• Preferred experience in North American sales/support process and understanding the nuances of selling in this region

• Should multitask and be comfortable switching between phone and chat to address multiple customer queries at the same time

• Candidates with prior IT Sales background with an understanding of SaaS and licensing will be a plus

• Should possess sound understanding of the sales cycle/Inside Sales model and consultative selling approach. Basic understanding of sales techniques like BANT, Sales funnel, and pipeline management is desired

• Should be willing to work in all Geos: NA, APAC and EMEA

• Should have a minimum typing speed of 40 words per minute for Chat

We are looking for passionate people who love solving interesting and complex technology challenges, who are enthusiastic about building an industry first innovative product to solve new age real world problems. This role requires strategic leadership, the ability to manage complex technical challenges, and the ability to drive innovation while ensuring operational excellence. As a Backend SDE-2, you will collaborate with key stakeholders across the business, product management, and operations to ensure alignment with the organization's goals and play a critical role in shaping the technology roadmap and engineering culture.

Key Responsibilities

• Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and prepare technology roadmaps.
• Technical Excellence: Guide the team in designing and implementing scalable, extensible and secure software systems. Drive the adoption of best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
• Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
• Cross-functional collaboration: Collaborate with Product Management, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
• Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1-3 years of experience in software engineering
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
• Proven track record of successfully delivering large-scale, high-impact software projects.
• Strong understanding of software design principles and patterns.
• Expertise in multiple programming languages and modern development frameworks.
• Experience with cloud infrastructure (AWS), microservices, and distributed systems.
• Experience with releational and non-relational databases.
• Experience with Redis, ElasticSearch.
• Experience in DevOps, CI/CD pipelines, and infrastructure automation.
• Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch