Data Engineer

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 

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

📢 Join Our Team as a Management Trainee in Accounting at Gallagher & Mohan! 🌟

About Us

Gallagher & Mohan is a leading provider of financial analysis, marketing, and accounting support services to the real estate industry 🇺🇸. We work exclusively with real estate-focused private equity investors, developers, fund managers, brokers, and more across the US and European markets.

Job Summary

We're seeking a highly qualified and motivated candidates to join our Accounting Team as a Management Trainee. You'll contribute to our continued success by providing financial analysis 📈, accounting support 🧮, and working with US real estate clients 🏢.

Key Responsibilities 📝

- Financial Closing 📆: Lead month-end and year-end closing processes, analyzing General Ledgers, Trial Balance, and preparing journal entries, accruals, prepaids, amortization, reclasses, and adjustments.

- Reconciliations 🔄: Perform reconciliations for bank accounts, credit cards, GL, and other accounts. Maintain monthly balance sheet workpapers.

- Cash Management 💵: Keep accurate records of daily cash transactions and oversee cash balances.

- Invoice Review 📝: Scrutinize invoices for proper account coding and expense allocations.

- Financial Reporting 📊: Compile and submit comprehensive financial reporting packages.

- Liaison 🤝: Work with clients, property managers, Board of Directors, and third-party vendors.

- Budgeting 📈: Support budget preparation and reforecasting.

- Tax Payments 💸: Manage real estate, Federal, and State tax payments.

Requirements ✅

- CA qualification 🎓 with US real estate experience preferred.

- Strong analytical 🧠 and communication skills 💬.

- Knowledge of GAAP and IFRS 📚.

- Ability to work independently and in a team 🌐.

What We Offer 🎁- Opportunity to work with international clients 🇺🇸.

- Remote work opportunity in New Delhi 🌐.

- EST time zone shift 🕰️.

- Professional growth and development 📈.

Job Details

Job Title: Management Trainee in Accounting 📊

Department: Accounting 🧮

Employment Type: Full-time, Permanent ⏰

Location: Working Remotely, New Delhi 🌐

Industry: KPO, Outsourcing/Offshoring 📈

Shift Time: EST - US Time Zone 🕰️

Job Description: Speech Recognition Engineer

3 years of industry experience

Responsibility:

 Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or

Deep Speech using PyTorch or Tensorflow

 Assist to define technology required for Speech to Text besides core engine

and to design integration of these technologies.

 Work on improvement of model's accuracy and guide the team with best practices.

Desired experience:

 Good understanding of machine learning(ML) tools.

 Should be well versed in classical speech processing methodologies like hidden

Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural

networks (ANNs), Language modeling, etc.

 Hands-on experience of current deep learning (DL) techniques like Convolutional

neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term

memory (LSTM), connectionist temporal classification (CTC), etc used for

speech processing is essential.

 The candidate should have hands-on experience and any of the end-to-end

implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep

Speech

 Hands-on PyTorch and Tensorflow experience is desirable.

 Experience in techniques used for resolving issues related to accuracy, noise,

confidence scoring etc.

 Ability to implement recipes using scripting languages like bash

 Ability to develop applications using python, c++, Java

 Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT

 Experience in CI/CD pipeline, MLOps processes

 Hands-on deployment experience using cloud applications like AWS, GCP

Location: Bangalore

Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET

or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)

techniques like CNN, RNN, LSTM etc., AWS, GCP

Developer will work collaboratively with other developers, Product Managers, designers and SMEs, owning all aspects of product development from requirement gathering, coding, testing and deployment. This specific role will be responsible for developing required applications and supporting them in DevOps model. - Work with product manager and stakeholders to analyze user stories - Participate in team activities to estimate and plan sprints - Implement stories and work with team to meet sprint goals - Write unit tests and contribute to ongoing testing needs. - Ongoing support of capabilities following DevSecOps practices. Prior knowledge in Finance or electronic Payment area is preferred but not necessary.

• Required Skills: Javascript, node.js, vue.js, Postgres, AWS RDS, AWS LAMDA, SNS, SQS
• “Nice to have” Skills: Datadog, Material Design, Kafka
• Open to remote candidates or do they need to be on site when the site re-opens? Open to remote

• You will be having an impact on our 1.7M users every day.
• You will be rolling out experiments and working closely with our product managers and design team to validate and build new features.
• Monitoring apps and fixing bugs for improving performance.
• Refactoring/Rewriting obsolete code to align with the new architecture.
• Design, build and maintain high performance, reusable, and reliable Kotlin code.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency Experience: 1- 5 yrs in android development

Expertise:

• Kotlin
• Live Data and other Android Jetpack components
• DI (Dagger/Hilt)
• Design patterns MVVM, MVI
• Multithreading (Coroutines)
• Offline Storage
• Remote data interaction via REST and JSON

Hands-on experience:

• Git
• CI/CD
• Third-party analytics like Amplitude, Clevertap, etc..
• Common third-party libraries and APIs like (Glide, retrofit...)
• Firebase products (FireStore/ RealTimeDB/ FCM..)
• Writing custom views
• Text-based UIs like notes, reader, etc..
• Publishing/Updating apps on Google Play and other stores (Huawei/Xiaomi...)

Good to have:

• Basic understanding of clean architecture.
• Simple data structure and algorithm understanding.
• Basic understanding of AWS services and products
• Strong design intuition and user empathy.
• Should be aware of future technologies in the Android ecosystem.
• You should be quick in understanding the hypothesis, and build the experiment and make it available to a user
• We prefer people who are highly experimental and willing to take risks.
• Experience in training or mentoring team members.

Do not apply if you are not:

• Ownership driven
• Curious in general
• Self-motivated
• Use to work in a chaotic environment
• Highly proactive
• Hate drinking and smoking will have a hard time here

- Must have good hands-on experience on WordPress

- Should able to edit WordPress plugins

- Well versed with HTML, CSS, Java script, PHP

- experience in phpMyAdmin, MySQL, MariaDB

- SSO, oauth2 website integration will be added advantage

- Good communication skills, should able to demonstrate website features

- Good work ethics, professionalism, team player