Performance tester

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 – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

About Grexa

Grexa AI is a venture-backed startup on a mission to build the world’s first Marketing AI Platform for small businesses - a fully autonomous system that drives Real Revenue by automating and optimizing digital marketing.

Founded by 4 seasoned IIT alumni and former Testbook Founders / CXOs (scaled to $30Mn ARR business with 1,000+ employees, successfully acquired by a leading edtech company), the team brings deep product expertise, execution speed, and a track record of building at scale.

We’re funded, building fast, and assembling a high-performing team to disrupt the global digital marketing space from India. If you’re excited to solve real problems and build transformative AI products - this is your calling.

Key Responsibilities

• Create and implement processes to deeply understand the client’s business as well as to onboard them such that they integrate Grexa into their daily operations confidently.
• Continuously monitor client engagement metrics to identify opportunities for optimization, proactively intervening to enhance platform adoption and satisfaction.
• Act as the strategic bridge between clients and internal teams, ensuring seamless resolution of operational needs while driving continuous improvement.
• Champion the voice of the client by collecting rich feedback and delivering it as actionable insights to influence product development and service innovation.
• Strategically identify growth opportunities among clients, advising clients on how to unlock more value through advanced features and tailored solutions.
• Own the client journey end-to-end such that Grexa’s renewal and revenue expansion objectives are met.

Requirements

• 1 to 3 years of work experience in Program Management, Operations, or Growth roles etc
• Experience in designing and scaling operational processes.
• Strong problem-solving skills with a focus on execution and delivering results.
• Proactive, detail-oriented, and outcomes-driven — someone who can solve on-ground problems in real time
• Excellent stakeholder management and communication skills.
• Proficiency in basic tech tools like CRM systems, Excel, WhatsApp APIs, marketing tools, etc.

Why Join Us

• A high-growth environment with real ownership from day one — this is not just a role, it’s a launchpad for your career
• Work directly with founders and cross-functional teams on impactful client journeys and product feedback loops
• Energy and agility of a startup with structured processes that support long-term growth
• Tools, support, and mentorship to fast-track your learning curve
• Access to cutting-edge AI-driven solutions and automation technology
• Opportunity to be part of a mission that’s transforming how businesses scale and serve their clients

About FoundingMinds:

We are one of the preferred product development partners in the software industry. We work with clients across the globe to design and develop products for them. We are also an incubator for many startups. As a contributor, you will get an opportunity to work with different ideas, brainstorm with diverse people, widen your way of thinking, learn different technologies, research what you have to do, contribute your best to the projects and take ownership of what you do to your project. If you are passionate, you will find endless opportunities to build your career at Founding Minds.

Type: Consultant to Hire

We’re looking for an experienced C++ Developer with strong expertise in system-level programming and hands-on experience working on the TSL (Transport Security Layer). If you’re passionate about C++, love solving performance and security challenges, and are curious about robotics, this role could be a perfect fit for you.

Type: Consultant to Hire

We’re looking for an experienced C++ Developer with strong expertise in system-level programming and hands-on experience working on the TSL (Transport Security Layer). If you’re passionate about C++, love solving performance and security challenges, and are curious about robotics, this role could be a perfect fit for you.

Responsibilities

• Design and develop high-performance C++ applications focused on security and scalability.
• Work on the TSL layer, implementing and maintaining secure communication protocols.
• Optimize code for performance, reliability, and maintainability.
• Collaborate with cross-functional teams to deliver robust software solutions.
• Participate in design discussions, code reviews, and technical documentation.

Requirements

• 6+ years of hands-on experience in C++ (C++11 or later).
• Strong understanding of object-oriented programming, multithreading, and memory management.
• Experience with TSL/SSL, encryption, and secure communication protocols.
• Familiarity with networking (TCP/IP, sockets programming).
• Strong debugging and performance optimization skills.
• Experience working in Linux environments with tools like gdb or valgrind.

Nice to Have

• Experience with OpenSSL or similar libraries.
• Interest in robotics or real-time systems — even if you haven’t worked in the field before.

If you’re someone who enjoys deep technical challenges and is open to exploring how your expertise can extend into robotics, we’d love to connect.

Requirement :

• 8+ years of experience in Software Development, design, implementation web applications (i.e. having an architectural sense)
• Hands-on analysis, design, and implementation of microservices based applications, .Net Core, Angular, React, Web API, Entity Framework, JavaScript, SQL Server.
• Must have exposure in website development using Angular/React
• Knowledge on Docker, Kubernet
• Hands-on experience working in Azure.
• Hands-on SOLID principles & architectural design patterns
• MS-SQL server knowledge
• Experience in Application Security and Performance tuning.
• Good to have experience in creating automated build and test environments / CICD/ DevOps
• Experience in defining and implementing Hybrid scenarios with workloads shared across on-premise and public cloud using zero trust approach.
• Highly effective team-working skills, with an established track record in building teams at all technical levels
• Research-oriented, flexible, open to change, and adapt quickly.
• Passionate to work on mission-critical tasks and solve real-world problems
• Healthcare Domain knowledge is a big plus

Responsibilities :

• Analysis, design, and implementation of microservices based applications using Microsoft and cloud technology stack.
• Understand the benefits of the various tech-stacks and accurately suggest the use of the appropriate technology for the applications.
• Develop future-ready solutions/PoCs and train the developers.
• Provide technical direction & solutions to the development team.
• Establish effective controls for processes (tech standards, code review, release management) and functions performed by the team.
• Effectively work with internal IT teams to help establish the necessary infrastructure for the platform appropriate for business volumes.
• Effectively work on multiple, parallel projects using exceptional organizational and time management techniques to successfully complete tasks in a timely manner

Job Description

Hands on Experience in Angular4 with Node.js

You will get hands on experience in latest technologies and skills like AngularJS, ReactJS, NodeJS, MongoDB, REST API etc.

Good understanding of how web applications work.

Expert knowledge in HTML, CSS, JavaScript, jQuery, Bootstrap

We need a passionate candidate who is looking for the next level of career growth in a fast-paced, learning based and merit-driven work environment.

Our client is a 4 decade old diversified business group with holdings in FMCG and hospitality. Their FMCG portfolio comprises of a well known mouth freshener and soon-to-be-launched confectionery products.

They have an excellent reputation for their hotels in North India. The aesthetically designed rooms, the multi-cuisine restaurant, corporate facilities like conference rooms, banquets and other services like gym and spa in their hotels are all world-class arrangements at a reasonable price.

What you need to have: