Business Developer

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job description:

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.

Job Title: Assistant Professor

Departments:

· S&H (Mathematics) - Assistant Professor

Qualification:

· B.sc, M.sc & Ph.D. / NET or SET preferred

Immediate Joiner preferred

Candidate Profile:

· Candidate should complete their PhD in the relevant discipline

· Candidate should have Good Communication Skills

· Commitment towards work

Interview Process: Interview and Technical round

Job Location:Saravanampatti, Coimbatore, Tamilnadu

Apply Mode: Email

Last Date: As soon as possible

How to Apply: Indicates may send their resume along with all necessary documents to the following Email address.

Job Type: Full-time

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person

Location: Krishnagiri, Tamil Nadu

Experience: Minimum 2 years

Job Type: Full-time

Preferred Candidate: Female

About the Role:

We are seeking a dedicated and enthusiastic Computer Teacher to join our academic team. The ideal candidate will have at least 2 years of teaching experience, strong communication skills, and a passion for imparting computer knowledge to students at the school/college level.

Key Responsibilities:

• Deliver computer science curriculum to students as per academic guidelines.
• Teach foundational topics such as MS Office, Internet, HTML, and basic programming (e.g., Scratch, Python, C – as applicable).
• Plan and execute interactive lessons using digital teaching tools.
• Conduct practical sessions in the computer lab.
• Assess students’ progress through assignments, tests, and projects.
• Maintain attendance, grades, and student performance records.
• Encourage students to participate in tech-based activities and competitions.
• Collaborate with school/college staff for curriculum planning and development.
• Provide basic technical support for classroom technology when needed.

Required Qualifications:

• Bachelor’s degree in Computer Science, BCA, or any relevant discipline.
• B.Ed (preferred for school teaching roles).
• Minimum 2 years of teaching experience in a school or academic institution.
• Good command of English and Tamil (or local language as required).
• Strong classroom management and communication skills.

Preferred Qualities:

• Female candidates are preferred for this role.
• Ability to adapt teaching methods based on student needs.
• Familiarity with smart classroom tools and e-learning platforms.
• Passion for education and mentoring young minds.

Working Hours:

• Monday , Tuesday, Thursday to Saturday
• Timings: 9:00 AM to 4:00 PM

Salary Range:

₹15,000 – ₹20,000/month (based on experience and qualification)

Required Skills

• 4-6 years of professional experience building server applications with Node.js and the Spring framework.
• Experience working with the AWS Development stack, including: Lambda, API Gateway, DynamoDB, Cognito, Mobile Analytics, EC2 and RDS

Experience working with a handful of the following:

• relational databases: MySQL, or PostgreSQL or Oracle
• document-based data stores: MongoDB or CouchDB,
• key-value stores: DynamoDB, Redis, Memcached
• column-stores: Cassandra, Vertica
• Ability to work with front-end web technologies, like: HTML5/CSS3/Angular/Bootstrap
• Strong familiarity with *nix command line operations

Frameworks - Android, Kotlin

Core Java

Data structure

Sqlite, Rest API, Android UI development, API Integration 

Developing, releasing, and maintaining native Android Applications and oversee mobile application development efforts 

Deliver across the entire app life cycle, design, build, deploy, test, release to app stores, and support

Working directly with product and backend developers to conceptualize, build, test, and realize products

Work on bug fixing and improving application performance

Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Optimizing performance for the apps and keeping up to date on the latest industry trends in the mobile technologies

Your Opportunity

You will primarily be responsible for implementing features & building platforms to enable on-device and device/server-side combined ML workflows. You will possess strong skills in object-oriented software design and programming. You are excited about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design.

Your Impact

To design, architect, develop and maintain the backend for AI products by working closely with the Engineering Team. To ensure successful consumption of Saarthi.ai technology by APIs, SDKs, or Applications, thereby enabling productization and monetization of the AI solutions.

What You’ll Do

· Work with development teams and product managers to ideate software solutions

· Design server-side architecture

· Along with SAAS application deliverables even the client-side deliverables need to be taken care

· Develop and manage well-functioning databases and applications

· Write effective APIs

· Test software to ensure responsiveness and efficiency

· Troubleshoot, debug and upgrade software

· Create security and data protection settings

· Build features and applications with a mobile responsive design

· Write technical documentation

· Work with data scientists and analysts to improve software

What You Bring

· Proven experience as a Back-End Developer or similar role.

· Experience developing desktop applications.

· Strong working experience with back-end development using Node.JS, JavaScript.

· Strong knowledge of databases (MongoDB, PostgreSQL).

· Experience with System Design and Architecture.

· Familiarity with common stacks.

· Familiarity with Parallel Threading, Concurrent calling and Aggregation Queries.

· Ability to write quality unit tests

· Setting up CI/CD, and integrating with logging and monitoring systems for the products or platforms

· Excellent communication and teamwork skills.

· Degree in Computer Science, Statistics or relevant field

Vassu Tech

Information Management Consulting

Hyderabad, Telangana, India    

Job Title: Full Stack Developer

Location: Hyderabad

Exp:  3+ Years

Job Summary.

Education Qualifications:

A Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline is required.

Ideally,You should You have:

Frontend

• JavaScript/NodeJS
• Experience with REST/GraphQL
• Experience in API Design (Swagger/GraphQL/etc.)
• Basic understanding of a Component architecture (whether React, Angular, Vue, etc.)
• Basic understanding of OAuth or Experience with Auth in modern App
• Ability to think ‘functional lite’, e.g. avoid state mutations, understand uni-directional state flow (nice to have)

• Some experience with NoSQL and Document based databases.
• Experienced in Cloud environments 

Backend

• JavaScript/NodeJS
• Experience with REST/GraphQL
• Experience in API Design (Swagger/GraphQL/etc.)
• Experience with Workflow Engines (BPM, Standalone, etc.). JAVA experience is a plus.
• Basic understanding of Docker + Kubernetes
• Basic understanding of Elasticsearch
• Some experience with NoSQL and Document based databass.

Desirable Skills and Qualifications

• Decision making ability
• Attention to detail
• Able to work in a team as well as an individual
• Excellent verbal and written communication skills

Skills:

• Proficiency with JavaScript and HTML5
• Minimum 2+ years of hands-on experience with AngularJS and Angular Frameworks
• Experience with Java, JSON, Spring Boot and Hibernate 
• Experience with MYSQL databases
• Familiarity with Linux environments
• Experience with GIT 
• Hands on experience with AWS S3 is preferred
• Experience with web servers & application servers such as Apache and Nginx is good to have.

Responsibilities: 

• Design and develop client-side and server-side architecture
• Develop and manage well-functioning database
• Implementation of approved user interface
• Design and construction of REST APIs
• Server management and deployment for the relevant environment