3+ Data integration Jobs in Delhi, NCR and Gurgaon | Data integration Job openings in Delhi, NCR and Gurgaon

Position: AI Knowledge Manager

Department: Founder's Office

Reports to: Founder

Employment Type: Full-time

Position Overview:

MyOperator seeks a strategic AI Knowledge Manager to join our Founder's Office team. This role is responsible for managing and organising information that powers our AI systems, chatbots, and internal collaboration platforms. You will serve as the central architect of our organisational knowledge ecosystem, ensuring information is effectively structured and accessible for both customer-facing AI interactions and internal operations.

The position requires critical thinking, analytical abilities, and collaborative skills to identify, capture, and organise knowledge from across departments into a unified, AI-ready knowledge management system. This knowledge will become the central repository for documentation and process understanding, directly impacting how our AI systems learn, adapt, and serve customers.

Key Responsibilities:

• Knowledge Architecture & AI Integration - Develop AI-aligned knowledge management strategies, taxonomies, and information hierarchies. Optimise knowledge assets for AI processing (NLP, semantic tagging). Implement knowledge APIs.
• Cross-Departmental Knowledge Capture - Liaison between departments to identify, extract, and document critical organisational knowledge (explicit and tacit). Conduct interviews with SMEs. Develop standardised documentation.
• AI Performance Optimisation - Improve chatbot/AI performance via knowledge enhancement. Analyse conversation logs for knowledge gaps. Establish AI performance metrics and testing protocols (A/B testing, correlation). Implement feedback loops.
• Knowledge Quality & Platform Management - Maintain rigorous knowledge quality standards (review, approval, audit). Select and manage knowledge management platforms. Oversee technical configuration (search optimisation, access controls, integrations). Ensure infrastructure performance.
• Continuous Improvement & Gap Analysis - Evaluate chatbot performance and identify AI knowledge gaps. Develop strategies to address deficiencies. Create KPIs for knowledge adoption, utilisation, and AI performance correlation. Drive a culture of knowledge sharing.
• Essential Skills - Critical Thinking & Analysis: Exceptional analytical capabilities with the ability to break down complex processes into structured, documentable components. Strong problem-solving skills for diagnosing AI performance issues and developing targeted interventions.
• Communication & Collaboration: Outstanding interpersonal skills for conducting productive interviews with subject matter experts across all organisational levels. Excellent written communication for creating clear documentation serving both human and AI users.
• Project Management: Strong organisational skills for coordinating complex knowledge management initiatives across multiple departments. Ability to manage concurrent projects while maintaining quality standards.
• Change Management: Skills to drive adoption of new knowledge management processes and technologies. Ability to influence without direct authority and build consensus around knowledge initiatives.

Success Metrics:

• AI Performance: Measurable improvements in chatbot first-contact resolution rates, reduced escalation rates, and enhanced customer satisfaction scores.
• Knowledge Coverage: Achievement of target knowledge base completeness across business domains and reduction in identified knowledge gaps.
• Organisational Adoption: Increased participation rates from departments, sustainable knowledge contribution workflows, and improved utilisation of knowledge management tools.
• Operational Efficiency: Reduced time spent searching for information, decreased training time for new employees, and demonstrated ROI on knowledge management investments.

What We Offer:

• Direct exposure to strategic decision-making as part of the Founder's Office team.
• Opportunity to shape the technological direction of a growing company.
• Access to cutting-edge AI and knowledge management technologies
• Professional development resources, including conferences, certifications, and training.
• Competitive compensation package with performance bonuses and equity participation.
• Comprehensive benefits and flexible working arrangements.

AWS Glue Developer 

Work Experience: 6 to 8 Years

Work Location:  Noida, Bangalore, Chennai & Hyderabad

Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops, 

Job Reference ID:BT/F21/IND

Job Description:

Design, build and configure applications to meet business process and application requirements.

Responsibilities:

7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.

Technical Experience:

Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.

➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

➢ Create data pipeline architecture by designing and implementing data ingestion solutions.

➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.

➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.

➢ Author ETL processes using Python, Pyspark.

➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.

➢ ETL process monitoring using CloudWatch events.

➢ You will be working in collaboration with other teams. Good communication must.

➢ Must have experience in using AWS services API, AWS CLI and SDK

Professional Attributes:

➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.

➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.

➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.

Qualification:

➢ Degree in Computer Science, Computer Engineering or equivalent.

Salary: Commensurate with experience and demonstrated competence

Do you want to work with the company which solves real time challenges by using Artificial Intelligence, Data Integration & Analytics, then read on.

Our client is an Ad Exchange startup redefining health care marketing.The startup has built an integrated marketplace for advertising to health practictioners by allowing them to access multiple digital health care platforms via single window. They have developed a patented technology that allows them to do precision targeting of ads for the physicians using programmatic media. They are soon to expand their services in the USA.

What you need to have: