Senior DevOps Engineer

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

• Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
• Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
• Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
• Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT
• Mandatory (Company) - B2B Product Companies with High data-traffic

Preferred Companies

MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle

Build financialsustainability

a. Building and sourcing work-streams such as corporate, foundation, multi-

laterals, Alumni, government etc. Good to be Subject matter Expert in

work-streams such as multi-laterals / foundations.

b. Design and execute deep engagement strategy with key relationships to

ensure renewals, upgrades and meaningful partnerships

c. Partner with the Director in leveraging the rich ecosystem towards building

a pipeline of funders.

d. Manage systems and processes that support development objectives and

comply with regulatory laws and MoU commitments

e. Lead and manage strategic partnerships with various organizations to

organize fundraising campaigns and events.

f. Facilitate legal agreements/ communications with partners as needed

g. Events: Support and Organize vents/ conferences/ seminars/ concerts/

charity fundraising events etc. to promote fundraising for partners

2. Due Diligence:

a. Conduct thorough due diligence on partners to make sure they are

compliant with existing laws and have strong track record.

b. Conduct thorough due diligence on individuals creating personal cause

campaigns to verify need and use of funds

3. Fundraising:

a. Help partners identify influential campaign creators or to create campaigns

themselves

b. Work closely with the digital marketing and content team to make sure

each fundraising campaign is a big success!

c. Feedback Reports: Ensuring that all donors are sent feedback reports on

timely basis and that partners provide high quality feedback reports

Campaigns: Develop pipeline of campaignsthat have large scale impact and

work with partners to execute those.

Job Responsibility:

• Design, develop, and deploy Power BI reports and dashboards that provide key insights into business performance.
• Create and maintain complex Power BI data models, integrating data from multiple sources.
• Write and optimize SQL queries to extract, manipulate, and analyze data from various databases.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective BI solutions.
• Perform data analysis using Excel, Power Query, and other tools to support reporting and analytics needs.
• Monitor and troubleshoot Power BI reports and data refresh schedules to ensure consistent performance.
• Implement security measures and ensure data is presented to the appropriate audience through role-based access.
• Continuously improve the usability, interactivity, and performance of reports.
• Provide training and support to end-users on Power BI usage.

Work Mode: 

• 2 to 3 days a month will be work from client office in Gurugram/Hyderabad
• Preferred Location - Gurugram/Hyderabad. 
• For other locations, candidate should be willing to travel to Gurugram/Hyderabad for a few days every month.

External Skills And Expertise

Must Have Skills:

• Excel
• SQL
• Power BI Dax
• Power Query
• Power BI Online Services

REQUIREMENTS:

• Experience: 1-2 years in outbound sales (B2B, SaaS, or IT Sales preferred).
• Strong ability to independently generate leads through various platforms and tools.
• Proven track record in nurturing leads and closing deals.
• Bachelor’s degree in business, Marketing, or a related field.
• Exceptional communication and interpersonal skills.
• Target-driven with excellent negotiation and problem-solving abilities.
• Familiarity with CRM tools and outbound sales strategies.
• Knowledge of AI, Machine Learning, or emerging technologies is a plus.
• Open to working onsite in Bangalore.

KEY RESPONSIBILITIES:

Outbound Lead Generation & Prospecting:

• Identify and qualify high-potential leads through cold calling, email outreach, and networking.
• Leverage online platforms, Gohigh Level and tools to build and maintain a robust lead pipeline.
• Develop creative and personalized outreach strategies to engage prospects.

Client Engagement & Relationship Building:

• Initiate contact with prospective clients to understand their needs and present tailored solutions.
• Build long-term relationships with clients through consistent follow-ups and support.
• Conduct product demonstrations to showcase the value of Orai's AI solutions.

Sales Pitching & Deal Closure:

• Develop persuasive sales pitches and proposals for outbound prospects.
• Address objections and negotiate contracts, pricing, and terms to secure deals.
• Drive the sales process from initial outreach to closing the deal.

Pipeline Management & Target Achievement:

• Maintain an organized and up-to-date sales pipeline, ensuring consistent progress toward targets.

·      Consistently achieve or exceed monthly sales quotas and KPIs.

·      Strong skills in addressing objections, negotiating contracts, and finalizing deals.

Market Research & Sales Insights:

• Stay informed on industry trends, competitor strategies, and market conditions.
• Use insights to refine outbound sales strategies and identify new opportunities.

·      Understanding of AI, Machine Learning, SaaS, or emerging technologies.

·      Hands-on experience with CRM tools for managing and analyzing sales activities.

Reporting & Analytics:

• Keep accurate records of all sales activities and interactions in the CRM.
• Prepare and share regular sales performance reports with the team.

The ideal candidate will be responsible for developing high-quality WIFI applications. They will also be responsible for designing and implementing testable and scalable code.

Job requirement and Skills

• Embedded development in C/C++ on Linux
• Experience with WiFI chipsets (Atheros / Qualcomm / Broadcom)
• Worked with WiFi drivers and WiFi stack
• Strong debugging skills

Experience

• Minimum 5-10 years of experience
• Educational Qualifications: BE/ME
• Experience developing RRM, SON features in WiFi will be great .