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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 

Senior BI Engineer

📍 Location: BHive Bangalore, India

💼 Department: Technology – Data

🚀 Experience Level: Senior

About the Role

Mumzworld is scaling fast, and data is central to our success.

We are looking for a Senior BI Analyst to join our data team and help drive business insights, storytelling, and decision-making through high-quality analytics and reporting.

This is a high-impact role, reporting directly to the Head of Data, and working cross-functionally with business teams, product managers, and engineers to transform data into actionable intelligence.

You will not only deliver robust dashboards and deep-dive analyses but also help define metrics, improve data literacy across the company, and ensure that our analytics layer is consistent, trusted, and scalable.

You will also leverage Generative AI tools to boost productivity, streamline reporting workflows, and enhance collaboration.

Key Responsibilities

• Deliver Impactful Insights

Build, maintain, and optimize dashboards, reports, and deep-dive analyses to support critical business decisions.

• Create Impact Dashboards with Storytelling

Design dashboards that not only show data but tell a clear story — highlighting insights, business implications, and actions.

• Define and Standardize Metrics

Work closely with stakeholders to define KPIs and ensure consistency in metrics across business domains.

• Model for Analytics Needs

Collaborate with data engineers and modelers to ensure data structures (in bronze, silver, gold layers) are optimized for reporting and analytical needs following medallion architecture principles.

• Drive Business Conversations

Translate business questions into clear analytical deliverables; turn data findings into actionable insights and business narratives.

• Ensure Data Quality & Trust

Validate data accuracy and drive initiatives to improve data reliability across all reports and dashboards.

• Leverage Gen AI for Productivity

Promote the use of Generative AI tools to accelerate report building, automate documentation, and summarize insights faster.

• Advance Data-Driven Culture

Conduct workshops, share knowledge, and uplift the organization’s data literacy and self-service capabilities.

• Support Data Science Projects

Partner with the data science team to ensure BI foundations support predictive models, experimentation, and advanced analytics initiatives.

What We’re Looking For

• 5+ years of experience in business intelligence, data analysis, or analytics roles.
• Expertise in BI tools like Looker, Power BI, or Tableau.
• Strong SQL skills to extract, transform, and analyze large datasets.
• Solid understanding of data modeling principles (especially star schema and medallion architecture).
• Understanding of incremental load vs full load strategies, and a passion for building your own scheduled queries and data refreshes.
• Experience working with cloud data warehouses like BigQuery or Snowflake.
• Strong business acumen with the ability to translate data into business value.
• Experience building self-service datasets, semantic layers, or LookML models is a plus.
• Excellent communication skills — able to present complex findings in a clear and actionable way.

Nice-to-Have

📅 E-commerce experience – Familiarity with product, customer, and order data structures.

🤖 Experience with dbt Cloud and modern analytics stacks.

📈 Exposure to data governance, catalogs, or metadata management tools.

🖥️ Experience with GitHub for version control in analytics workflows.

🌐 Understanding of privacy, GDPR, and data compliance best practices.

Who You Are – Soft Skills & Personality

We’re looking for a curious, business-savvy, and detail-driven BI analyst who thrives in a fast-paced, collaborative environment.

👤 Structured & Organized – You design with clarity, document your work well, and maintain consistency across reports and analyses.

💬 Collaborative Communicator – You work well with both technical and business stakeholders.

🚀 Results-Oriented – You focus on delivering impactful insights that drive business outcomes.

🧬 Analytical & Curious – You dig deep into data, question assumptions, and continuously look for improvement opportunities.

🤝 Team Player – You support, teach, and uplift others across the organization.

If you’re passionate about turning data into impact, scaling analytics, and building a data-driven culture, we’d love to hear from you.

Involved in capex,modelling, Budgeting,investment decision making

Should be able to converse well with global stakeholders

O&G, Metals and mining heavy manufacturing Preferred

Others - not a frequent job hopper

Margin optimization -holistic understanding of the O&G P&L (not limited to 1-2 line items only)

1.      3+ years of experience in web development

2.      Minimum 2+ years’ experience in Node JS

3.      databases-MongoDB

Good to have

• Kubernetes & Dockers and experience with Cloud service APIs (e.g., GCP) are desirable.
• Github CI/CD experience
• Experience in the  Real Estate will be a plus

• Experience of using Python/ Django frameworks in building back end for Full Stack Applications
• Hands on experience on Web frameworks, Restful APIs and SOAP
• Strong command on SQL (or relevant query language or ORM queries)
• Knowledge of front-end technologies such as React Native, React.js, Angular.js or Javascript