BI Developer

About the job:

Job Title: QA Lead

Location: Teynampet, Chennai

Job Type: Full-time

Experience Level: 8+ Years

Company: Gigadesk Technologies Pvt. Ltd. [Greatify]

Website: www.greatify.ai

Company Description:

At Greatify.ai, we lead the transformation of educational institutions with state-of-the-art AI-driven solutions. Serving 100+ institutions globally, our mission is to unlock their full potential by enhancing learning experiences and streamlining operations. Join us to empower the future of education with innovative technology.

Job Description:

We are looking for a QA Lead to own and drive the quality strategy across our product suite. This role combines hands-on automation expertise with team leadership, process ownership, and cross-functional collaboration.

As a QA Lead, you will define testing standards, guide the QA team, ensure high test coverage across web and mobile platforms, and act as the quality gatekeeper for all releases.

Key Responsibilities:

● Leadership & Ownership

• Lead and mentor the QA team, including automation and manual testers
• Define QA strategy, test plans, and quality benchmarks across products
• Own release quality and provide go/no-go decisions for deployments
• Collaborate closely with Engineering, Product, and DevOps teams

● Automation & Testing

• Oversee and contribute to automation using Playwright (Python) for web applications
• Guide mobile automation efforts using Appium (iOS & Android)
• Ensure comprehensive functional, regression, integration, and smoke test coverage
• Review automation code for scalability, maintainability, and best practices

● Process & Quality Improvement

• Establish and improve QA processes, documentation, and reporting
• Drive shift-left testing and early defect detection
• Ensure API testing coverage and support performance/load testing initiatives
• Track QA metrics, defect trends, and release health

● Stakeholder Collaboration

• Work with Product Managers to understand requirements and define acceptance criteria
• Communicate quality risks, timelines, and test results clearly to stakeholders
• Act as the single point of accountability for QA deliverables

Skills & Qualifications:

● Required Skills

• Strong experience in QA leadership or senior QA roles
• Proficiency in Python-based test automation
• Hands-on experience with Playwright for web automation
• Experience with Appium for mobile automation
• Strong understanding of REST API testing (Postman / automation scripts)
• Experience integrating tests into CI/CD pipelines (GitLab CI, Jenkins, etc.)
• Solid understanding of SDLC, STLC, and Agile methodologies

● Good to Have

• Exposure to performance/load testing tools (Locust, JMeter, k6)
• Experience in EdTech or large-scale transactional systems
• Knowledge of cloud-based environments and release workflows.

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.

Power BI Developer

Senior visualization engineer with 5 years’ experience in Power BI to develop and deliver solutions that enable delivery of information to audiences in support of key business processes. In addition, Hands-on experience on Azure data services like ADF and databricks is a must.

Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business, and technical counterparts.

Candidates should have worked in agile development environments.

Desired Competencies:

• Should have minimum of 3 years project experience using Power BI on Azure stack.
• Should have good understanding and working knowledge of Data Warehouse and Data Modelling.
• Good hands-on experience of Power BI
• Hands-on experience T-SQL/ DAX/ MDX/ SSIS
• Data Warehousing on SQL Server (preferably 2016)
• Experience in Azure Data Services – ADF, DataBricks & PySpark
• Manage own workload with minimum supervision.
• Take responsibility of projects or issues assigned to them
• Be personable, flexible and a team player
• Good written and verbal communications
• Have a strong personality who will be able to operate directly with users

🚀 We're Hiring: AUTOSAR Ethernet Experts at InfoGrowth! 🚀

Join InfoGrowth as an AUTOSAR Ethernet Expert and contribute to pioneering advancements in automotive technology!

Job Role: AUTOSAR Ethernet Expert

Mandatory Skills:

• Embedded C programming
• AUTOSAR knowledge
• Ethernet expertise

Key Requirements:

• Hands-on experience with Ethernet stack integration/development
• Experience with Ethernet switch topics
• Proficiency in Embedded C programming
• Experience with Marvell Ethernet Switch (88Q5050/88Q5XXX)
• Familiarity with software development tools such as CAN Analyzer, CANoe, and Debugger
• Strong problem-solving skills with the ability to address technical issues independently
• Experience with Groovy or any scripting language is a plus
• Knowledge of the ASPICE process is an added advantage
• Excellent analytical and communication skills

Job Responsibilities:

• Engage in tasks related to the integration and development of Flash Bootloader (FBL) features, alongside testing activities.
• Collaborate continuously with counterparts in Germany to understand requirements and effectively interpret and develop FBL features.
• Responsible for creating test specifications and accurately documenting results.

Why Join InfoGrowth?

• Be a part of an innovative team dedicated to transforming the automotive industry with cutting-edge software solutions.
• Work on exciting projects that challenge your skills and foster professional growth.
• Enjoy a collaborative and dynamic work environment that values creativity and teamwork.

🔗 Apply Now to help drive the future of automotive technology with InfoGrowth!

Marketing Campaign Manager

INDIA AND SEA

 

About SATISFIC
Satisfic is focused on the areas of the IT channel marketing. As the channel catalyst, we connect and empower technology suppliers, solution providers and end-users. Headquartered in Singapore and with teams across key countries in APAC, Satisfic leverages its regional service delivery capabilities to help IT channel succeed and grow.  Please visit our site at http://www.satisfic.com">www.satisfic.com for further details.

What you will be doing:

Operational and Project Management

• Work with our India and SEA clients
• Develop digital marketing initiatives and programs for IT products and solutions.
• Create and execute digital marketing campaigns like webinar, email, search and social marketing etc. for assigned products in assigned markets.
• Work closely with internal team and external vendors to implement marketing activities and tactics.

Creative Execution of Marketing Promotions

• Create concepts for marketing initiatives, and draft promotional copy and relevant terms & conditions.
• Ensure compliance with client-brand guidelines and contract when implementing creative and manage required approvals.
• Work with other members of the SATISFIC Team, contractors or vendors as needed to execute marketing campaigns.
• Compile regular reports and analytics of campaign performance and results.

Strategic Planning Support

• Provide campaign recaps indicating success metrics and ROI. Make recommendations based on how to apply learnings to future promotions.
• Establish and maintain processes to manage scope over the campaign lifecycle by managing the identification, resolution and escalation of project risks and issues hindering delivery of programs
• Track campaign progress at every step and proactively work with internal and external customer to steer campaigns in the right direction
• Attend weekly calls with the client; send out daily and weekly activity reports and ROI analytics to the Client.

About your experience:

• 5-7 years of proven experience in B2B marketing campaign planning and execution.
• Hands on experience in email marketing, webinar marketing and other digital marketing campaign execution.
• 1-2 years of IT channel marketing experience would be an added advantage.
• Highly proficient in Microsoft Word, PowerPoint and Excel
• Strong interpersonal and communication skills
• Strong analytical abilities
• Project and time management skills
• Facilitate and manage teamwork across departmental functions
• Knowledge of project management and reporting tools would be added advantage
• Highly organized and strongly self-motivated
• Ability to multi-task activities with shifting priorities
• Quick learner with a positive attitude
• Strong decision-making, problem resolution and creative thinking skills

Qualifications:

• Graduate in any field.
• MBA Marketing preferred but not mandatory

Reports to:  Manager – Customer Success.

Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience

About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.

The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles

Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT,  RoBERTa, XLNet 
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus


Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus

Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.

Work for one of the fastest growing financial ecommerce platforms, and give your career great exposure to global processes and systems.

What you need to have: