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Product Manager
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Product Manager

Divya Chandran's profile picture
Posted by Divya Chandran
3 - 7 yrs
₹5L - ₹9L / yr
Coimbatore
Skills
Product Management
Growth Hacking
Entrepreneurship
Product Strategy
Mobile App Marketing
Running a business and taking care of P/L of the company
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Altius Technologies

Founded :
2015
Type
Size
Stage

About

Our leadership has been at the product content forefront for some of the websites in the world also has experts for building eCommerce platform database.
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Divya Chandran

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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 
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  • 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 
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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 
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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 

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  • Experience with data quality for digital twin or simulation platforms 
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  • 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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Typical day-to-day duties and in-demand skill sets for mobile application developers include:

  • Must have Knowledge of object-oriented programming languages such as Java, C and C++.
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Selection Process:-

  1. Firstround of Interview – MCQ Written test (based on Syllabus & basic Aptitude) – 1 
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Remuneration and terms:-

  1. Company provides joining letter and agreement with terms here at time of joining of Candidate.
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Monday-Friday : 9:30 AMto 6:30 PM, 45 minutes launch, 15Min Tea break

Saturday: 9:30 AMto 1:30 PM

Alternative Saturday Activity.

 

 

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You will collaborate closely with senior engineers, AI/ML teams, and frontend developers to build scalable, high-performance systems. This role is ideal for professionals with solid backend experience who are eager to deepen their expertise in Python, cloud technologies, and AI-based applications.

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What We Offer

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Act as the key point of contact between clients and internal teams (designers, developers, marketers, social media managers).


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Relationship building skills 

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Counseling and selling skills

 

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Working knowledge in MS-Office 

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Working on UI/UX prototyping and designs on Adobe XD

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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