
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

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Job Role: Machine Learning & AI Developer
Skills: Data Science, Deep Learning, ML & Generative AI,
Job Description:
We are looking for a highly skilled and experienced ML& AI Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.
Key Responsibilities
- Develop and maintain web applications using Django and Flask frameworks.
- Design and implement RESTful APIs using Django Rest Framework (DRF)
- Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.
- Build and integrate APIs for AI/ML models into existing systems.
- Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.
- Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.
- Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.
- Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.
- Ensure the scalability, performance, and reliability of applications and deployed models.
- Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.
- Write clean, maintainable, and efficient code following best practices.
- Conduct code reviews and provide constructive feedback to peers.
- Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of professional experience as a Python Developer.
- Proficient in Python with a strong understanding of its ecosystem.
- Extensive experience with Django and Flask frameworks.
- Hands-on experience with AWS services for application deployment and management.
- Strong knowledge of Django Rest Framework (DRF) for building APIs.
- Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Experience with transformer architectures for NLP and advanced AI solutions.
- Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Familiarity with MLOps practices for managing the machine learning lifecycle.
- Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
Expert at turning designs into efficient, usable interfaces using
HTML/CSS/JavaScript
Expert with responsive design/development and mobile-web best practices
Expertise in PHP development with WordPress, Shopify
Expertise in integrations using the REST platform
Experience with CMS plugin and theme development
Experience with cross-browser testing
Experience with My SQL
Pluses – Knowledge of Angular, Node JS and Reactjs
Working knowledge of Agile methodologies and sprints
Integration of user-facing elements developed by front-end developers
Build efficient, testable, and reusable PHP modules.
Ability to project manage.
Good problem-solving skills.
Work from office only.
NOTE:- WE ARE LOOKING FOR AN IMMEDIATE JOINER.
THE ROLE
DA is looking for a Sales Business Development Manager to oversee the planning and execution of Sponsorships, Collaborations, and Corporate Sales with a key focus on Esports, Employee Engagement and Training through Gamification.
You will report to the Head of Marketing and support in the development of long-term strategies as well as seasonal plans. You will liaise with internal departments, build marketing plans and oversee all projects to guarantee brand awareness.
Requirements and skills:
Job Description:
3+ years in a similar role preferably in an Esports/Gaming brand or similar experience in dealing with corporate sales.
Master's degree in marketing, business or related fields, a master's is a plus.
Proven knowledge and interest in Esports culture and community.
Fluent in English written and spoken, this will be tested in the interview process.
Good use and knowledge of Microsoft Office, particularly PowerPoint and Excel
Dynamic with excellent communication skills
Autonomous and able to work against close deadlines
Creative perspective with innovative ideas.
Problem solver with a great eye for detail
Organized and flexible with the ability to work in a fast-paced ever-changing international environment
Great compensation package (in consideration of your professional experience)
Be part of a young, dynamic and creative company
Brand new headquarters located in the center of Delhi.
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Build, Train and Test multiple CNN models.
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Optimizing model training & inference by utilizing multiple GPUs and CPU cores.
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Keen interest in Life Sciences, Image processing, Genomics, Multi-omics analysis
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Interested in reading and implementing research papers of relevant field.
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Strong experience of Deep Learning frameworks TensorFlow, Keras, PyTorch.
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Strong programming skills in python and experience of Ski-Learn/NumPy libraries.
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Experience of training of Object detection Models like YOLOv3/Mask CNN and semantic segmentation models like DeepLab, Unet etc.
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Good understanding of image processing and computer vision algorithm like watershed, histogram matching etc.
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Experience of cell segmentation and membrane segmentation using CNNs (Optional)
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Individual Contributor
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Experience with image processing
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Experience required : 2-10 Years
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CTC :15-40 LPA
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Good python programming and algorithmic skill.
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Experience with deep learning model training using any known framework.
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Working knowledge of the genomics data in R&D
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Understanding of one or more omics data types (transcriptomics, metabolomics, proteomics, genomics, epigenomics etc.)
-
Prior work experience as a data scientist, bioinformatician or computational biologist will be a big plus
PlanetSpark is on a mission to build the next generation of confident speakers and
creative writers. We are a global company impacting over 11 countries through live 1:1
personalized classes on Public Speaking and Creative Writing through the handpicked top
1% teachers.
We are Series A funded by some top VCs and are on a 30% month-on-month growth
curve. We have our footprint in India, the Middle East, North America, and Australia.
Come join a passionate team of over 500 young and energetic members and 400+
expert and handpicked teachers.
For more updates, please subscribe to our Instagram
handle: https://www.instagram.com/planetspark/" target="_blank">https://www.instagram.com/planetspark/
What would you be building:
You would be working on global consumer-facing products at a fast-growing startup that
would give you great exposure to all different aspects of full-stack development. You
will work on:
- Complete website redesign: The website of the company has been completely redesigned by collaborating with one of the country’s top designers who has worked with brands such as Treebo, Bira 91, etc. You will get the opportunity to create this from scratch.
- Learning Product: Creating the world’s first and most comprehensive live learning product to help kids become confident communicators
- Teacher Product: Ever thought of how millions of Uber drivers are managed completely by technology? You now have the chance to build technology that will manage the entire lifecycle of thousands of teachers across the globe.
Your Roles and Responsibilities
As a front-end developer, you will be a part of a close-knit team of 10x engineers who
will get complete accountability for designing the front of all the products of the company.
Some of the responsibilities include:
- Break down tech problems and determine a workable solution.
- Integrate front-end design and/or code into the back-end system.
- Develop incrementally and iteratively to elicit feedback over a short period of time.
- Write a clean, readable code that doesn’t necessarily need to be commented on.
- Collaborate with the business and design teams
- Continue learning and growing in emerging web technologies and methodologies
Growth Path
- As a developer in a funded product company, you will find immense avenues of growth, in the form of knowledge, exposure to different technology, exposure to different products, career progression, and aggressive monetary growth based on performance.
- All 10x engineers will get unparalleled career growth and will outperform their batchmates by two times.
- You will get complete accountability – you could proudly say that you have built complete products on your own
Requirements
- Work experience as a front end developer with a reputed organization
- Good Understanding of ReactJs or Next Js
- Intermediate understanding of relational databases, specifically SQL-based systems, and language.
- Basic to intermediate understanding of front-end languages and technologies, such as JavaScript, HTML5, CSS3, etc.
- Solid understanding of object-oriented development and design patterns.
- Good understanding of testing concepts and practices, including unit, integration, and use case testing.
- A BS/MS in Computer Science, Software Engineering, or related field or comparable experience in web application development required.
About SLAY
SLAY Coffee is India's best rated and fastest growing coffee brand with a vision to democratise great coffee experiences through technology & innovative customer experiences. With 3 core lines of business (SLAY Cloud for Online, SLAY Coffee Bars for Grab & Go and SLAY Packaged Coffees for home consumption), SLAY Coffee’s core promise is sophisticated convenience at pocket friendly prices. The brand is 2-years old and currently has a footprint of over 150 locations across 8 cities.
Culture at SLAY
Excellence is our North Star and our culture fuels this pursuit. We work together as a sports team*; each member is united by a common purpose and drives excellence by bringing their unique self to the team.
We aim to build and nurture a team that finds meaning and fulfillment in the work they do at SLAY. If who you are and what you value is in alignment with what SLAY is and what we value, then the pursuit of excellence becomes meaningful.
The following principles guide us in our day to day working at SLAY:
- Customer first
- Transparency
- Simplicity in thought and action
- Long term thinking
- Passion
- Data over opinion, company and team over self
- Integrity and respect
- Communication for impact
Core Values
Our core values define how we operate and bring about an alignment of purpose. We learn and get inspired from each other in strengthening these behaviors & skills both at an individual level and collectively at the Company level. New members are added to the team and existing team members are rewarded and developed based on these values.
- Courage:
- To think big, act without fear and voice your opinion.
- To question the status quo- go beyond rules and hierarchies.
- To act in the best interest of the customer and company, even if it calls for going outside your comfort zone.
- Ownership:
- Seek to understand the context and objective, then drive for results
- Collaborate independently across teams
- Communicate proactively. Eliminate the need for follow ups
- Act with authority
- Action
- Prioritize action over discussions
- Run small pilots for each idea
- Make mistakes, learn, don't repeat.
- Curiosity
- To understand our customers and markets deeply beyond the stated
- To push the boundaries and innovate
- To never settle for less
Beyond the salary (and great coffee!)
- Freedom to test out any idea in your function or outside of it.
- Gender-neutral policies
- Free Books Program- buy any book that you would like to read for the company library. The Company pays for it.
- 25% of your time can be devoted to the causes you care about. (Pursue your passion or hobby)
- Exclusive talks & insights from the experts for the growth & development of our team
- Full tuition fees sponsorship for Baristas
- Family support programs for Baristas
Opportunity
As a team member in SLAY’s growth team, you will work on projects to grow the brand’s reach, resonance and resultant goodness.
Your Boss
You will work directly with the Co-founder . This position is being hired for the Centre of Excellence team at SLAY.
Your Team
You will collaborate with business teams to develop in house training & learning strategies, creative teams to develop impactful creatives, operations teams for execution & external partners to set up and manage specific learning and development initiatives..
Key Result Areas
- Drive technology first learning interventions for all members of the organization.
- Design and deploy the end to end training framework from training needs identification to continuous assessments and certifications.
- Develop content using instructional design methodologies. Suggest and deploy new age and industry first tools and systems.
- Own the competency dictionary of the organization and drive brand values and culture through culture philosophy through all training and development activities.
- Manage and guide the training team which will include instructional designers, content developers, training coordinators etc.
- Keep abreast of training trends, developments and best practices of the Industry.
Your role requires knowledge and demonstrable experience of:
- 6+ years of experience in developing and executing successful training initiatives.
- Familiar with traditional and modern training processes
- Meticulous attention to detail
- Ability to plan, multi-task and manage time effectively
- Entrepreneurial with the ability to think of industry first and rule breaking initiatives
- Organizational skills
Next Steps:
If you wish to explore this opportunity further,
- Send us a copy of your latest resume
- A quick note on what excites you about working with SLAY. You can do this as an audio file, video file or a simple write up as well.
- We will schedule one to one interactions with your potential boss, team members and peers.
- To appoint Block Sales Manager in their respective Districts.
- To manage sales operations in assigned district to achieve revenue goals.
- To supervise sales team members on daily basis and provide guidance whenever needed.
- To identify skill gaps and conduct trainings to sales team.








