D365 T&L Functional Consultant with Warehouse management

REQUIREMENT:

Location: Hyderabad

Position/Designation: Planning & QS Engineer

Project details : 110no of Triplex Villas. (Total Built up Area is3.35 Lakhs SFT)

New Requirement

Reporting To: Project Manager

JOB PROFILE:

Education: BE Civil

Experience: Years : 6 to 8 years

Area: Strong QS & Billing knowledge with an exposure to

Planning

Key Skills:

1)Planning

    Prepare master project schedule

    Keep project team updated on the progress versus timelines

    Tracking all schedules weekly

    Identify actual and potential slippages and prepare recovery plans

2)Document Control

    Maintain records for all documents pertaining to the site – drawing transmittals, DBR, MOM, approvals etc

    Organize and conduct review meetings

    Preparing & circulating weekly & monthly progress report

3)QS &Billing

    Valuation of works done periodically and certification of all vendor bills

    Track cost variation in order value

    Monitor basic price of various materials and track budgets

    Monitor and report cost performance through Earned Value

Other Skills: 

4) Good Communication Skills

 Must have experience in Residential Projects

 High end Villas development projects preferred

We're looking for an experienced Zoho Developer (1-2 years) to join our team! You'll work with internal teams to understand business requirements, configure and customize Zoho apps, and deliver end-to-end solutions. You'll also provide support, troubleshoot issues, and guide junior team members. Required skills include hands-on experience with Zoho Creator, CRM, Flow, Books, Analytics, and more, plus strong problem-solving and communication skills. Experience in client-facing roles and managing multiple projects is a plus.

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.

Reddit Growth Specialist – Zapify Pro

Remote | Part-time | Contract

Please fill this form - https://forms.gle/q1BdoyTYsx3h9Hh28

Role Overview

Hire a Reddit specialist to build organic visibility, discussions, and qualified traffic for Zapify Pro through value-first, rule-compliant Reddit engagement, focused on Instagram DM automation and creator tools.

Responsibilities

• Create daily high-value posts and comments in targeted subreddits
• Write discussion-driven content optimized for search engines and AI discovery (AEO)
• Engage in high-visibility and popular posts related to:
• Instagram DM automation
• Creator tools
• SaaS automation
• Reply thoughtfully to relevant questions without spam or forced promotion
• Monitor & engage on brand mentions
• Track traffic, signups, and learnings.
• Build karma, authority, and trust through consistent engagement
• Start and participate in organic discussions using multiple compliant, aged Reddit accounts 
• Invite users to communities only where explicitly allowed
• Follow all subreddit rules strictly (brand safety is mandatory)

Requirements

• Proven Reddit profile(s) with strong karma and clean history
• At least 3 high-performing or viral Reddit posts (any niche)
• Deep understanding of Reddit culture, tone, and moderation rules
• Ability to recommend products without direct links
• Clear & Strong written English.
• Bonus
• SaaS or B2B marketing experience
• Experience with creator or Instagram-related tools
• Key Success Metrics (KPIs)

Growth & Conversion

• Reddit → Website sessions
• Free trial / account signups
• Signup conversion rate
• Activation rate (users connecting Instagram after signup)

Engagement & Credibility

• Post and comment karma growth
• Upvotes, saves, and meaningful replies
• Post survival rate (not removed by moderators)

Visibility

• Brand mentions and organic discussion volume
• Consistent presence across target subreddits

🔧 Key Skills

• Strong expertise in Python (3.x)
• Experience with Django / Flask / FastAPI
• Good understanding of Microservices & RESTful API development
• Proficiency in MySQL/PostgreSQL – queries, stored procedures, optimization
• Solid grip on Data Structures & Algorithms (DSA)
• Comfortable working with Linux & Windows environments
• Hands-on experience with Git, CI/CD (Jenkins/GitHub Actions)
• Familiarity with Docker / Kubernetes is a plus

GDS Marketing is seeking a highly motivated and results-oriented Business Development Executive (BDE) to join our growing team.

Responsibilities:

• Identify and qualify new business opportunities through various channels, including networking, cold calling, and online research.
• Develop and maintain strong relationships with potential clients, understanding their needs and challenges.
• Create and deliver compelling presentations and proposals that effectively communicate the value proposition of GDS Marketing's services.
• Negotiate and close deals, ensuring that contracts are signed and projects are initiated on time and within budget.
• Manage and maintain a robust sales pipeline, tracking progress and forecasting future revenue.
• Collaborate with internal teams, including marketing, operations, and delivery, to ensure seamless project execution and client satisfaction.
• Stay abreast of industry trends and best practices in business development and sales.

Requirements:

• Proven track record of success in business development or sales, with a minimum of 01 years of experience Or Freshers.
• Strong understanding of the marketing and advertising industry, with a focus on digital marketing solutions.
• Excellent communication, presentation, and negotiation skills.
• Ability to work independently and as part of a team.
• Strong analytical and problem-solving skills.
• Proficiency in CRM software and Microsoft Office Suite.
• Bachelor's degree in business, marketing, or a related field preferred.

Benefits:

• Competitive salary and commission structure.
• Comprehensive benefits package, including health, dental, and vision insurance.
• Paid time off and holidays.
• Opportunity to work with a dynamic and growing company.
• Hybrid working model, allowing for flexibility and work-life balance.

If you are a highly motivated and results-oriented individual with a passion for sales and a desire to make a significant

• Design and update job descriptions
• Source potential candidates from various online channels (e.g., social media and professional platforms like Naukri and Indeed)
• Craft recruiting emails to attract passive candidates
• Screen incoming resumes and application forms
• Interview candidates (via phone, video, and in-person)
• Advertise job openings on the company careers page, social media, job boards, and internally
• Provide shortlists of qualified candidates to hiring managers
• Monitor key HR metrics, including time-to-fill, time-to-hire and source of hire

Requirements and skills

• Proven work experience as an HR Recruiter with a Real Estate background.
• Familiarity with Applicant Tracking Systems and resume databases.
• Experience with sourcing techniques Boolean Search,
• Understanding of referral programs
• Solid verbal and written communication skills

• Design and construction of platform with the best possible encryption and security mechanisms
• Compare different design options and take technology-driven design decision
• Define Data model/Information model
• Define services and convert functional requirements to design
• Define APIs and implement them
• Build front end based on user experience design
• Test and Debug as required
• Write Technical Documentation
• Optimize code and design for Performance
• Design and implementation of continuous integration and deployment pipelines

Expected Qualifications and Key Skills

• Working experience in Spring, Spring-boot or equivalent, Hibernate or equivalent persistence framework.
• Working experience of No SQL databases such as MongoDB or equivalent
• Working experience of setting up Production environment including SSL certificates, logging, backup, archival, etc.
• Working experience of JavaScript frameworks such as React JS, JQuery, etc.
• Working experience of API gateways and Web services such as REST
• Working experience of using GIT
• Working experience of a dev-ops tool such as Jenkins
• Deployment experience on Azure/AWS
• Microservices design and development
• Excellent understanding of Data Structures and Algorithms
• Understanding of OOP and Design Patterns
• Works well in a team setting
• Can multitask, adapt to shifting priorities, detail-oriented
• Good work ethic, including a sense of individual responsibility
• Comfortable working on changing requirements in a growing company
• Must be analytical, flexible, innovative, and self-motivated
• Experience with payment platforms and processors would be a plus

Purpose of the Role

To design and implement the Peak AI System - a new system of intelligence that allows companies to quickly harness the power of AI.

The Opportunity 

Peak are a Decision Intelligence company - where we are democratising AI for every business and building a great company that everyone loves being part of. We are on a mission to help organisations use AI to make great commercial decisions, all the time. Just as importantly, we are also focused on building an amazing company: one where we truly value our people & culture, and strive to make an amazing and diverse place to work. Our recent Best Companies award & World class accreditation for being one of the top companies to work for is a testament to this.

We have ambitious plans over the coming years - to create and lead a new category of enterprise software; the decision intelligence system (Decision Intelligence), expand our operations and create the best working culture possible. This is a great time to join Peak and the Engineering team, as we start the next stage of our global growth.

The Role

Based in Jaipur or Pune, you will be working in a collaborative team on cutting edge technologies in a supportive and dynamic environment. Ultimately you are responsible for building the CODI and on-boarding new clients - this involves:

• Developing a good understanding of the solutions which Peak delivers, and how these link to Peak’s overall strategy.
• Making suggestions towards shaping the strategy for a feature and engineering design.
• Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.  
• Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
• Acting as the Lead Engineer on a project. Helps ensure others follow Peak processes, such as release and version control.
• An active member of the team, through useful contributions to projects and in team meetings.
• Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.

Required Skills and Experience

We are building a team of world class engineers in Jaipur, essentially we are looking for bright, talented engineers looking to work at the cutting edge of practical AI.

• Acquired strong proven professional Front End Development experience.
• Proven track record and experience working on Javascript and front end frameworks like React (preferred) and Angular
• Knowledge and experience working with Node.js, Go or any other back end programming language is a plus .
• Experience of turning UI/UX designs to applications and keen interest in the UI/UX side of an application. 
• Able to build prototypes quickly and work with the product teams to test a concept. 
• Demonstrable experience in building front end or UI/UX development practices in previous jobs. 
• Building and implementing a product on cloud based infrastructure.
• Good understanding of Microservice Architecture, Cloud Technologies, CI/CD and Serverless.
• Ability to document requirements and specifications.
• A naturally inquisitive and problem-solving mindset.
• Strong experience in using Agile Methodologies such as Kanban or Scrum to build quality software.
• Good communication skills.

As well as doing great work we have created an award-winning, fun and exciting workplace that people love to be, we are looking for people to join us who share our values and are:

• Open - Always up for new ideas and able to take and give feedback in a positive way.
• Driven - sets high goals, doesn’t give up, and make sacrifices to ensure that their job gets done on time and meets/exceeds expectations.
• Curious - Aware of new technologies and uses them to make new improvements in the Engineering ecosystem.
• Smart - Innovative and thinks out of the box, in difficult situations finds a way to succeed no matter what 
• Responsible - takes ownership of tasks given and has a strong work ethic.

About Peak

In an age when becoming AI and data-driven is one of the most important things businesses must do, it can also be one of the most challenging. That’s where Peak comes in; our CODI system sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data - helping decision makers make great commercial decisions, powered by AI. All supported by our world-class data science team.

Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies, winning numerous awards and attracted significant funding to support the company’s ongoing investment in machine learning and AI technologies. All to further our mission to become the world’s leading AI System business.

Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include some of the world's leading retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses. Peak is an Amazon Web Services (AWS) Partner, and holds Machine Learning Competency and Retail Competency status.