PostgreSQL-Database Administrator

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.

We are looking "Personal Assistant" for Reputed Client @ Coimbatore Permanent Role.

Experience: 2-4 Yrs

Key Responsibilities:

• To act as a first point of contact dealing with correspondence and phone calls. 

• To proactively manage and coordinate the diary of the Chief Executive by prioritizing and arranging internal and external meetings, ensuring appropriate briefing papers are prepared and provided. 

• Maintain effective filling and data storage including emails and retrieval systems ensuring the needs of the Chief executive are met. 

• To provide full personal assistant support by dealing with all correspondence and calls, drafting routine letters to a high standard, minute meetings, taking messages and other administrative tasks as required to support the Chief Executive. 

• To provide support for Board of Director meetings by ensuring meetings are properly arranged and serviced. This will include drafting agendas, collating papers and reports, taking minutes and following up action points. 

• Supporting the Chief Executive to keep the Board of Director informed about the work of the organization and their appropriate training and induction. 

• To service meetings of the Senior Management Team by drafting and collating papers and reports, preparing manageable agendas, taking minutes and following up on actions points. 

• To plan and manage key organizational events such as; AGM, Staff and Volunteer conference, Strategy days, Staff briefings and others as required

🚀 We're Hiring: Test Engineer at InfoGrowth 🚀

Are you an experienced Test Engineer with a passion for automotive embedded systems and automation testing? Join InfoGrowth, a leader in IT and cloud services, and become a part of a dynamic team focused on cutting-edge automotive technology solutions.

Key Responsibilities:

• Design and implement test automation solutions for embedded products in the automotive industry.
• Architect efficient test automation strategies from software to integrated system tests on virtual and physical embedded targets.
• Offer automation testing as a platform for development teams, enabling them to run CI/CD pipeline tests independently.
• Lead in the design and operation of test automation platforms, ensuring top-quality testing efficiency.
• Conduct both manual and automated testing at various system levels, including SW, BaseTech, ADAS, Brake, Suspension, Steering, and Connectivity.

Key Skills:

• Proven expertise in test automation for embedded products in the automotive domain.
• Proficient in Python programming, with experience in Robot Frameworks being a strong plus.
• Hands-on experience with Vector tools such as CANalyzer, CANoe, and CAPL.
• Solid understanding of communication protocols like CAN, LIN, FlexRay, and Ethernet.
• Strong knowledge of HIL (Hardware-in-the-loop) and SIL (Software-in-the-loop) technologies.
• Deep understanding of embedded software testing.

Preferred Experience Areas:

• Testing and implementation of automated/manual testing on Complete Vehicle Electronics System level (SWDL, network management, customer functions).
• Boxcar and HIL testing for critical automotive functions, including ADAS and Steering functionalities.
• Testing and implementing strategies for the Connectivity and system-level automotive technologies.

Job Description

POSITION: Quality Assurance Automation Analyst

DESCRIPTION:

The Quality Assurance Automation Analyst works with the QA staff to perform Quality Assurance Automation planning, application testing and developing scripts using established automated testing tools before and after production implementation. Focus on creating test scripts, and frameworks and executing functional, regression and end-to-end automated scripts for products' front-end and back-end applications. This role is responsible for executing the automated regression tests before release and on demand. The candidate should be willing to step into a Manual QA role and perform Manual Testing on a need basis.

RESPONSIBILITIES:

• Accountable for the Quality Automation planning and testing of the application for the assigned projects.
• Performs timely reporting of planning and testing efforts.
• Develop and maintain automated scripts for all product testing using Selenium WebDriver with Java implementation. 
• Develop manual and automated test cases/scripts.
• Able to shift between Automation and Manual Testing tasks on a need basis.
• With support from QA staff and the configuration team, writes and executes test cases for the projects assigned.
• Achieves and maintains excellent content knowledge of assigned products.
• Perform daily; weekly, monthly and on-demand execution automated regression tests.
• Identify and document issues found in modules and products during automated regression to assist with easy recreation.
• Communicate daily and weekly progress.
• Collaborates with management to continuously provide input to improve the QA process.
• Performs other duties as assigned.

REQUIREMENTS:

• Minimum of 3-5 years of experience in software testing with 2-3 years of experience in developing automation scripts using Selenium Web Driver.

• Saas industry experience is preferred

• Experience in developing Automation Frameworks from scratch. 

• Strong in Java programming (Core JAVA) 

• Experience using Selenium Grid is preferred.

• Good knowledge of Web Services.

• Working knowledge of web technologies including basic knowledge HTML, CSS, JavaScript, and DOM

• Experience in QA Methodologies - Agile preferred

• Experience in analysing requirements & create Test scenarios.

• Knowledge of Defect Management Process & Defect lifecycle.

• Working knowledge of Test Management Tool.

• Working knowledge of database (e.g. MySQL).

Exp:1-2.9 yrs 

Notice period: Immediate to 15days 

Mode of interview: 1 written test + 1 Video technical interview
Job description:

• Strong fundamentals in functional testing(manual) 
• Experience in any tools such : Combo 1 Selenium or Cucumber or Appium, Mobile app testing ; API
• Hands-on experience in Java - Mandatory 
• Effective interpersonal skills. 

Note : We are looking for the 1-2.9 years of experience with automation ( selenium ) + API Automation ( postman, Soap , rest api or any ) + core java ( coding in java )

Develop firmware, system software for medical devices\ Automotive ECUs\ IoT edge devices & gateways.  Implement the logic and protocols and communications on 32-bit microcontrollers, configure OS, timers, tasks, interrupts, and communicate with external modems, SoCs, trans-receivers to design, code, and test desired functionality as per customer requirements

Job Requirements :

• Hands-on experience in firmware development using C language
• Hands-on experience in writing low-level device drivers for microcontrollers
• Know of real-time Operating system concepts, tasks, and interrupts’ configuration
• Hands-on experience with in-circuit debuggers
• Knowhow of wired and wireless communication protocols 
• Basic understanding of HW circuits, power supply designs, sensors, and actuators’ interfaces
• Experience in implementing SW development quality processes like ISO 9001 or ASPICE
• Good written and oral communication skills

Who we look for

• Strong technical expertise and building ability 
• Ability to envisage how your technical knowledge could be applied outside of academia - with a focus on impact/disruption
• Ability to explain and articulate complex ideas, simply
• Ability to digest difficult questions/information