Network Administrator

Role Summary

We’re seeking a seasoned Azure Data Engineer / Consultant to lead design, build, and operationalize cloud-native data solutions. You’ll partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. You’ll also establish best practices around CI/CD, security, and data quality within a medallion architecture.

Required Skills (at least 4+ years of relevant experience - this is a senior-level role)

• Ability to talk to the customer
• Manage the delivery of an End-To-End Enterprise project
• Fabric (or Synapse/ADF/Databricks) Data Engineering background
• Data Warehousing experience
• Basic understanding of Agentic AI

Preferred Skills & Certifications:

• DP-600, DP-700 or equivalent certification.
• Experience with Azure Purview, Data Catalogs, or metadata management tools.
• Familiarity with orchestration frameworks (ADF, Synapse Pipelines), Spark optimization (broadcast joins, partition pruning), and data-quality frameworks (Great Expectations, custom).
• Prior consulting or client-facing engagements in enterprise environments.
• Knowledge of BI tools (Power BI).

What We Offer:

• Opportunity to own and shape cutting-edge data solutions for diverse industries.
• Collaborative, outcome-driven culture with career growth and skill-building opportunities.
• Competitive compensation and benefits package.

Given the qualifications and requirements you've shared (Ph.D. completion and a minimum of 2 years of experience) in the fields of Computer Science and Engineering (CSE), Information Technology (IT), and Electronics and Communication Engineering (ECE), here is a more tailored look at the specific expectations and skills an Associate Professor should bring to a department in such a technical field, along with the contextual setting of your mentioned location, KGiSL Campus in Saravanampatti, Coimbatore.

Eligibility:

• Complete the Master Degree In Relevant Field
• Candidates Clear the Any One Of UGC NET/SET
• Must Have a Ph.D Completion In Related Department

1. Academic Qualifications

• Ph.D. in Relevant Field: Candidates must have a Ph.D. in Computer Science, IT, or a closely related field. The Ph.D. should reflect deep expertise in a specific sub-area of the discipline.
• Publications: A strong record of publications in peer-reviewed journals and conferences, particularly in top-tier venues related to CSE, IT.
• Research Experience: Proven track record of independent and collaborative research projects, including contributions to advancements in areas such as machine learning, AI, data science, cybersecurity, embedded systems, etc.
• Teaching Experience: At least 2 years of experience in teaching and mentoring students, ideally at the university or college level, in courses related to CSE, IT.

2. Technical Skills

• Subject Expertise:
• CSE: Knowledge in areas such as Algorithms, Software Engineering, Data Structures, Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), Big Data, Database Systems, and Networking.
• IT: Familiarity with Programming Languages (Python, Java, C/C++, etc.), Web Development, Mobile App Development, Cloud Technologies, IT Infrastructure, Cybersecurity, and Network Security.

Role & Responsibilities

Extract insights from large datasets to support data-driven decision-making

Develop and automate routine dashboards for daily, weekly, and monthly KPI tracking

Conduct custom analyses to optimize user onboarding, activation, conversion, and retention funnels

Cohort users and track actual and predicted Lifetime Value (LTV)

Build forecast models and create meaningful alerts for business leaders

Collaborate with cross-functional teams to define short and long-term strategic focus areas

Provide actionable insights and recommendations to relevant teams

Create, standardize and maintain documentation frameworks and taxonomy across businesses

Ideal Candidate

Expertise in data analysis tools (SQL, Excel, Python, R), dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels

Excellent communication skills with the ability to influence stakeholders at all levels with the agility to work autonomously and collaboratively within a team environment

Proven ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders

Strong background in statistical analysis and experimental design for robust hypothesis testing

Experience with A/B testing tools and methodologies in digital product environments

Skill in creating and maintaining comprehensive documentation systems

1. Curriculum Development: Collaborate with Academic Advisory Committee and Marketing team members to design and develop comprehensive curriculum for data science programs at undergraduate and graduate levels. Ensure alignment with industry trends, emerging technologies, and best practices in data science education.
2. Faculty Recruitment and Development: Lead the recruitment, selection, and development of faculty members with expertise in data science. Provide mentorship, support, and professional development opportunities to faculty to enhance teaching effectiveness and academic performance.
3. Quality Assurance: Establish and maintain robust mechanisms for quality assurance and academic oversight. Implement assessment strategies, evaluation criteria, and continuous improvement processes to ensure the delivery of high-quality education and student outcomes.
4. Student Engagement: Foster a culture of student engagement, innovation, and success. Develop initiatives to support student learning, retention, and career readiness in the field of data science. Provide academic counselling and support services to students as needed.
5. Industry Collaboration: Collaborate with industry partners, employers, and professional organizations to enhance experiential learning opportunities, internships, and job placement prospects for students. Organize industry events, guest lectures, and networking opportunities to facilitate knowledge exchange and industry engagement.
6. Research and Innovation: Encourage research and innovation in data science education. Facilitate faculty research projects, interdisciplinary collaborations, and scholarly activities to advance knowledge and contribute to the academic community.

Budget Management: Develop and manage the academic budget in collaboration with the finance department. Ensure efficient allocation of resources to support academic programs, faculty development, and student services.

Job Title : Product Manager (Tech-to-PM | Ground-Up Product) 

Location : Bangalore, India (On-site)

Type: Full-time

Company Overview -.About the Company You will join BIGAIRLAB (https://www.bigairlab.com/)(part of a group of companies) at a critical pilot-to-scale phase of our product journey. We are a lean, high-growth technology & AI venture, building enterprise and consumer-facing AI products across India, UAE, and the US.

 As we move from prototype to scalable product, we are looking for a hands-on Product Manager who was a developer until recently and transitioned into Product Management in the last 1–2 years. This role requires strong technical depth, the ability to think like an engineer, and the mindset of a product owner who can drive clarity, execution, and rapid iteration.

Key Responsibilities

 • Own and drive the end-to-end product lifecycle: ideation, requirements, MVP definition, development, launch, iteration, and scale.

 • Define product vision, roadmap, and priorities in close partnership with founders and key stakeholders.

 • Translate business and customer needs into clear product requirements, user stories, acceptance criteria, and backlog prioritization.

 • Work deeply with engineering teams (frontend, backend, QA, AI/ML, and UI/UX) to ensure feasibility, quality, and timely delivery.

 • Leverage your prior developer experience to review technical approaches, understand architecture trade-offs, APIs, data flows, and performance constraints.

• Act as the bridge between business and engineering—ensuring clarity, speed, and alignment, especially during the pilot phase.

 • Define, track, and improve product metrics and KPIs (usage, adoption, performance, user feedback, reliability).

 • Drive agile execution: sprint planning, reviews, backlog grooming, and release planning.

• Collaborate with stakeholders across business, operations, sales, and customer teams to manage expectations and ensure alignment.

 • Support go-to-market activities including documentation, release notes, and early customer feedback loops.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science / Engineering or equivalent technical discipline.

• Strong prior experience as a software developer, with a transition into a Product Manager role within the last 1–2 years.

• Hands-on understanding of both frontend and backend systems:

     ◦ Frontend: modern web frameworks, UX considerations, performance tradeoffs.

     ◦ Backend: APIs, databases, system architecture, integrations, scalability.

• Ability to comfortably deep-dive with engineers and challenge or validate technical decisions.

• Working knowledge of AI/ML-driven products, data pipelines, or LLM-based systems is a strong plus.

• Experience working in startup or early-stage environments, preferably on products built from the ground up.

• Strong analytical and problem-solving skills; data-driven approach to decisionmaking.

• Excellent communication skills—able to articulate technical concepts to nontechnical stakeholders.

• Comfortable with ambiguity, rapid change, and wearing multiple hats.

 Desirable / Nice-to-Have

• Exposure to SaaS, enterprise B2B, or AI-first products.

• Experience working with or building products for India and/or Middle East (UAE) markets.

• MBA or formal product management training is a plus (but not mandatory).

 Ideal Candidate Profile

• A former engineer turned Product Manager, still close to the code and deeply technical.

• Someone who enjoys building from zero to one, not just optimizing mature products.

• Comfortable switching between strategy and execution, vision and detail.

• Collaborative, decisive, and ownership-driven.

• Motivated by impact, learning, and growth rather than rigid role boundaries.

What We Offer

• Opportunity to play a foundational role in shaping a core product and company direction.

• High ownership, visibility, and direct collaboration with founders.

• Exposure to global markets (India, UAE, US).

• Competitive compensation with base + performance bonus + equity/ESOPs. • Fast-paced environment with real responsibility and rapid learning.  

Skills Required (Mandatory):

• Automation Testing- using Selenium Java

Roles and Responsibilities:

Experienced with automation tools -Selenium or Appium

Defect management tools (ie: JIRA) Scripting knowledge with Java Programming language 

Understanding of current technologies, Software Test Life Cycle (STLC), Agile and Iterative Development methodologies.

Identify and communicate test plan / cases to automate based on automation framework and approach Defect management tools (ie: JIRA).

Good to Have:

Jmeter, Saucelabs, Testfairy, Postman, Charles proxy, Logcat, etc.

Agile methodology.