District Sales Manager | Rourkela

Position : Full Stack Developer (Node.js + React.js)

Experience : 5+ Years

Location : Gurgaon (Work From Office - 5 Days)

Notice Period : Immediate or within 7 days

Job Description :

We are looking for a highly skilled and passionate Full Stack Developer with strong experience in Node.js and React.js, and a solid understanding of Microservices Architecture.

This is a full-time, on-site opportunity based in Gurgaon, ideal for someone who thrives in a fast-paced development environment.

Mandatory Skills :

Node.js, React.js, JavaScript (ES6+), RESTful APIs, Microservices Architecture, MongoDB/PostgreSQL, Git, HTML5, CSS3, JWT

Key Responsibilities :

• Design, develop, test, and maintain scalable web applications using Node.js (backend) and React.js (frontend).
• Build and integrate RESTful APIs and Microservices in a production-grade environment.
• Participate in code reviews, architecture discussions, and performance optimizations.
• Collaborate with cross-functional teams including UI/UX designers, QA, DevOps, and product managers.
• Write clean, maintainable, and reusable code adhering to best practices.
• Ensure system reliability, security, scalability, and performance.
• Debug and resolve production issues efficiently.

Must-Have Skills :

• 5+ Years of full-stack development experience with Node.js and React.js.
• Strong expertise in JavaScript, ES6+, HTML5, CSS3, and responsive design.
• Solid hands-on experience in Microservices Architecture and containerized services (Docker, Kubernetes is a plus).
• Proficiency in RESTful API development and integration.
• Experience with databases such as MongoDB, PostgreSQL, or MySQL.
• Familiarity with version control tools like Git and CI/CD pipelines.
• Understanding of Agile/Scrum methodologies.

Good to Have :

• Knowledge of authentication/authorization mechanisms (OAuth, JWT).
• Exposure to cloud platforms like AWS, Azure, or GCP.
• Familiarity with testing frameworks such as Jest, Mocha, or Cypress.

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.

Profile:-Email Marketing Executive

Experience:-1-5Years

Location:-Noida

Lead Target:-minimum 40Leads

IDS:-minimum 200ids

- Generating business through online freelancing portal likes freelancer, upwork, guru etc.

- Good write proposals skill for projects

- Setup portfolio on websites and get projects through these websites

- Should be comfortable in client interaction

- Should have prior experience in software or Web Development Company.

- Candidates should be dynamic enough to achieve our monthly or quartely targets.

Project Manager

Job Description

Roles and Responsibilities:

• Develop relationships with various educational institutes including schools, colleges, and universities.

• School Acquisition- Reaching out to prospective schools through various lead sources and build a pipeline
• Develop project plans and implementation schedules
• Continually work to move projects to a successful completion
• Exhibitions to generate leads
• Passionate about working in the education sector
• Soft skills along with project management skills is a big asset
• Planned future events are visible & proactively coordinated
• Experience working in the EDU space is required (institutes, schools, Universities) and technology devices exp

Desired candidate profile:

Must be a graduate

Prior experience in project management ideally in Education industry (institutes,schools , Universities) will be an advantage

Great social and communication skills

Proven self-management and time management skills

Excellent client-facing communication skills

Strong leadership skills

Minimum of 2-3 years of experience in project management or as key account manager

Compensation is not a constraint for great candidates

Responsibilities and Key Accountabilities:

• Executing tests, collecting and analysing data, identifying trends and insights in order to

achieve maximum ROI in paid search campaigns

• Tracking, reporting and analysing website analytic, pay-per-click (PPC) initiatives and

campaigns

• Managing campaign expenses, staying on budget, estimating monthly costs and reconciling

discrepancies

• Taking the overall ownership of the allocated accounts in term of initial research of

Keywords and Targeting, Account setup, Ad writing, Campaign setup, Campaign

Optimization, Campaign reports and Client and Internal Team Co-ordination

• Punctual and Disciplined towards the Work and Office Etiquette's

Education Required:

• The knowledge, skills and abilities typically acquired through the completion of a

bachelor's degree program or equivalent degree in a field of study related to the job.

• Google AdWords Certified Years of Relevant Work Experience: Minimum 2 years

Knowledge, Skills, Abilities and Competencies:

• Proven experience in managing PPC campaigns across Google, and Social Media Platforms

• Knowledge of performance marketing, conversion, and online customer acquisition

• Up-to-date with the latest trends and best practices in search engine marketing

• Experience with website analytics tools (e.g., Google Analytics)

• Strong analytical skills and experience generating SEM reports

• Familiarity with A/B and multivariate experiments

• Working knowledge of HTML, CSS, and JavaScript development and constraints

• Excellent writing skills