Estimator – Exterior Windows, Doors, and Storefronts

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

• TIDB (Good to have)
• Kubernetes( Must to have)
• MySQL(Must to have)
• Maria DB(Must to have)
• Looking candidate who has more exposure into Reliability over maintenance

We are looking for an experienced Business Development Executive with a background in the EdTech industry. The ideal candidate should be comfortable with field visits and have strong relationship-building skills.

Key Responsibilities:

• Identify and develop new business opportunities in the EdTech sector
• Conduct field visits to meet clients, institutions, and partners
• Build and maintain strong customer relationships
• Present product demos and explain solutions to prospective clients
• Achieve sales targets and contribute to business growth

Requirements:

• Experience in the EdTech industry (mandatory)
• Willingness to travel and perform regular field visits
• Strong communication and presentation skills
• Ability to work independently and meet targets

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

Job Description:

  *   Understand client requirements related to their IT needs and deliver qualified consultants.

  *   Source and screen potential candidates for openings.

  *   Establish relationships with consultants/contractors in specified region.

  *   Negotiate compensation, extend offers, facilitate the placement of candidates and solicit referrals of other qualified consultants.

  *   Submit qualified candidates to open job requirements.

  *   Meet or exceed weekly goal expectations.

  *   Would be responsible for effective usage of Internal Systems/Database for recording different stages in recruitment process.

• CANDIDATE MUST HAVE REAL ESTATE AND RELEVANT EXPERIENCE 
• IMMEDIATE JOINERS
• INTERVIEW WITHIN 2 DAYS
• COMPANY NAME - SQUAREYARDS.COM (SQUAREYARDS CONSULTING PVT. LTD.)

Job Title: Area Manager

Experience - 5 to 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 30

Job Title: Regional Manager

Experience - Above 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 35

Organization Summary

Business development department is a combination of strategic analysis, marketing and sales. The department play vital role in the organization in bringing new customers by which expand financial growth to the organization.

Key Performance Area

* Generation Sales

* New Business Development / Conversation

* Service Delivery

* Customer Relationship (Customer Satisfaction and Feedback)

* Exploring company brand value in the market

Responsibilities & duties

* Responsible for generating sales with existing customers and developing opportunities with new customers within assigned territory

* Schedule and conduct weekly sales meetings and achieving targets

* Liaising between customers and the company for up-to-date status of service, pricing and new product release launches.

* Report on sales activities to senior management

* Reaching the targets and goals set for your area

* Establishing, maintaining and expanding your customer base

* Increasing business opportunities through various routes to market

* Compiling and analyzing sales figures

* Collecting customer feedback and market research

* Keeping up to date with products and competitors

Required Candidate profile

* Impeccable profile with high professionalism.

* Good experience in Sales

* Good communication, presentation and negotiation skills.

* Excellence in sales and marketing with positive attitude and team playing ability.

* A flair for establishing an instant rapport with clients.

* Dynamic, aggressive and result oriented.

*To enjoy networking and meeting new people.

Company Profile: www.squareyards.com

Please share your updated resume with below details:

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Communitate fast and easily :  8 nine 7 one 9 six 8 one 9 one

Quick Resume share :  sarita dot kumari at squareyards dot co dot in

Note :- Preferable and consider only Chennai based candidates.

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