Relationship Manager – Mortgage Sales

Role : Executive Personal Assistant

Fresher can also apply

Location : Hadapsar ( Pune)

Key Responsibilities

1. Calendar & Office Management

• Plan, schedule, and coordinate appointments, meetings, and events for the Managing Director.
• Maintain and update daily and weekly calendars proactively.
• Provide timely reminders and ensure smooth workflow management.
• Organize and maintain physical and digital files, documents, and confidential records.

2. Communication & Coordination

• Receive, screen, and prioritize calls, emails, and messages for the MD.
• Act as a liaison between the MD and employees, departments, and external stakeholders.
• Handle VIP/HNI customer interactions, reservations, and special ODC/party orders.
• Manage communication related to projects, new launches, and expansion initiatives under the MD’s purview.
• Respond to internal and external inquiries and track work plans assigned by the MD.

3. Documentation & Reporting

• Take dictations and draft correspondences, data points, and responses based on the MD’s preferences.
• Prepare, edit, and compile agendas, minutes of meetings, reports, presentations, and briefs.
• Observe discussions conducted by the MD and translate them into actionable plans for execution.

4. Travel & Hospitality Coordination

• Arrange domestic and international travel, ticketing, hotel bookings, and logistics for the MD and senior executives.
• Coordinate boarding and lodging for outstation visitors based on MD’s instructions.

5. Vendor, Supplier & Procurement Coordination

• Coordinate with international suppliers and vendors (e.g., China, Italy) regarding quotations, purchase orders, and shipments.
• Negotiate with suppliers, contractors, and vendors to obtain competitive pricing.
• Manage purchase comparisons, approvals, and payments.

6. Operational & Infrastructure Support

• Oversee maintenance, upkeep, and repair work of corporate offices, outlets, and store infrastructure.
• Coordinate on a case-by-case basis as per MD’s directions.

7. Research & Analysis

• Undertake primary and secondary research on assigned topics.
• Prepare detailed briefs, reports, and presentations within stipulated timelines.

8. Employee Training & Onboarding

• Assist in induction and training of employees associated with or supporting the MD’s office

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.

• Design and Develop: Architect, design, and implement high-performance Java-based backend services and applications.
• Code Quality: Write clean, efficient, and well-documented code following industry best practices and coding standards.
• Technical Leadership: Provide technical guidance and mentorship to junior developers, promoting best practices and fostering a collaborative environment.
• Collaboration: Work closely with frontend developers, product managers, and other stakeholders to understand requirements and deliver robust solutions.
• Performance Optimization: Identify and resolve performance bottlenecks and scalability issues.
• Testing: Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
• Continuous Improvement: Stay current with the latest industry trends, technologies, and best practices in Java/Golang development, and continuously improve our development processes.

As a Social Media Manager at Digeesell, you’ll get to work with our marketing team to help develop brand awareness about our company through social media. More specifically, you’ll get to:

• write long- and short-form social media messages that attract new users and engage current users
• use data to analyze what’s working, what’s not, and reinforce or refocus key messages accordingly
• wear many hats as you work with multiple teams to develop strategy, work with designers, write copy, manage social communities, and analyze data
• help convert brand fans into loyal customers with engaging, responsive, responsible, surprising, and captivating social media interactions
• design and monitor business performance goals to drive brand awareness
• observe and analyze market and competitor trends
• monitor the quality and integrity of products and services, and respond as needed to ensure brand alignment.
• Strategize media plans for different platforms.

Your qualification

• 2+ years of experience in the social media specialist role.
• Excellent communication Skills
• MBA in Marketing or similar background
• Good Presentation skills
• Excellent knowledge of variety of media/social media platforms

Job location: Udyog Vihar, Sector 18, Gurugram, Haryana

1. Very Strong hands-on knowledge of core PHP, MySql
2. Very Strong knowledge of JSON, JQuery, AJAX, HTML-5 CSS-3, JavaScript, Bootstrap
3. Very Strong knowledge of responsive websites
4. Knowledge of WordPress (added advantage)
5. Strong knowledge of cross-platform integration with various platforms
6. Excellent logical and analytical skills
7. Strong knowledge of IDEs being used in PHP development
8. Knowledge of PHP Frameworks will be an added advantage.
9. Strong knowledge and hands-on Oops concepts and MVC Design Patterns
10. Good knowledge of Data structures and algorithms.
11. Strong communication skills

Hardware person need to know

1. Latest and old Windows Operating System
2. Linux(ubuntu, centos, others) Operating System
3. Installation of windows and Linux operating system
4. Networking knowledge
5. LAN, Router, Switch configuration and installation
6. Knowledge of computer hardware as like RAM, HardDisk, Motherboard, SMPS, and other parts
7. Knowledge of repairing and replacing of hardware of both desktop and laptop
8. knowledge of installation of different software for both Linux and Windows operating system

Desired Candidate Profile