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Data Engineer

Hyderabad, Telangana, India

Pay
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Employment
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What you’ll bring

All qualifications

Core experience

  • 4+ years of experience with Snowflake and database technologies.
  • Hands-on experience with AWS, particularly EC2 and S3.
  • Experience with data governance, data quality, metadata, lineage, and PII classification.
  • Strong Python and API automation skills.

Preferred experience

  • Experience with Precisely Data Integrity Suite or similar tools is desirable.
Qualification wording
4+ years of experience with Snowflake and database technologies.
Hands-on experience with AWS, particularly EC2 and S3.
Experience with data governance, data quality, metadata, lineage, and PII classification.
Strong Python and API automation skills.
Experience with Precisely Data Integrity Suite or similar tools is desirable.

Tools in this posting

  • Python
  • AWS
  • S3
  • Snowflake
Source — Tool mentions in context
- Data Classification: Develop and maintain semantic types and rules to identify PII and sensitive data while improving classification accuracy. - Automation: Develop Python scripts and API-based automation to manage metadata and data assets at scale. - Metadata & Catalogue: Maintain the Business Glossary, Acronym Bible, Data Dictionary, and associated metadata.
- Experience with data governance, data quality, metadata, lineage, and PII classification. - Strong Python and API automation skills. - Experience with Precisely Data Integrity Suite or similar tools is desirable.
- Snowflake & Database Engineering: Work with Snowflake roles, grants, warehouses, scaling, and compute optimisation to balance performance and cost. - AWS Infrastructure: Support AWS services including EC2, S3, and Amazon Bedrock that underpin the data platform. - Data Classification: Develop and maintain semantic types and rules to identify PII and sensitive data while improving classification accuracy.
- 4+ years of experience with Snowflake and database technologies. - Hands-on experience with AWS, particularly EC2 and S3. - Experience with data governance, data quality, metadata, lineage, and PII classification.
Main Responsibilities - Data Discovery & Onboarding: Configure Precisely Data Integrity Suite and connect to Snowflake and other data sources; perform profiling and troubleshoot authentication, networking, and platform connectivity. - Snowflake & Database Engineering: Work with Snowflake roles, grants, warehouses, scaling, and compute optimisation to balance performance and cost.
- Data Discovery & Onboarding: Configure Precisely Data Integrity Suite and connect to Snowflake and other data sources; perform profiling and troubleshoot authentication, networking, and platform connectivity. - Snowflake & Database Engineering: Work with Snowflake roles, grants, warehouses, scaling, and compute optimisation to balance performance and cost. - AWS Infrastructure: Support AWS services including EC2, S3, and Amazon Bedrock that underpin the data platform.
Qualifications - 4+ years of experience with Snowflake and database technologies. - Hands-on experience with AWS, particularly EC2 and S3.

Job description

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Job Description

As a Data Engineer within the Data Trust & Integrity (DTI) team, you will help implement Entain's data governance and cataloguing platforms. Your role will have a hands-on, and you will also manage the daily operation of these platforms. You will work with our teams to onboard data sources, automate data discovery and classification, and maintain the tooling that supports data quality, lineage, semantic identification, and PII protection across the organisation.

Reporting to the Data Engineering Manager, you'll help strengthen Entain's data governance capabilities through automation, data quality, metadata management, and cloud data technologies. You will be a hybrid model.

Main Responsibilities

  • Data Discovery & Onboarding: Configure Precisely Data Integrity Suite and connect to Snowflake and other data sources; perform profiling and troubleshoot authentication, networking, and platform connectivity.
  • Snowflake & Database Engineering: Work with Snowflake roles, grants, warehouses, scaling, and compute optimisation to balance performance and cost.
  • AWS Infrastructure: Support AWS services including EC2, S3, and Amazon Bedrock that underpin the data platform.
  • Data Classification: Develop and maintain semantic types and rules to identify PII and sensitive data while improving classification accuracy.
  • Automation: Develop Python scripts and API-based automation to manage metadata and data assets at scale.
  • Metadata & Catalogue: Maintain the Business Glossary, Acronym Bible, Data Dictionary, and associated metadata.
  • Data Quality & Governance: Support data lineage, data quality rules, data debt management, and governance controls through the Data Control Framework (DCF).
  • AI & Automation: Leverage AI tools to accelerate scripting, data analysis, documentation, classification, and data quality activities while validating outputs.
  • Collaboration: Partner with Data Owners, Data Stewards, Governance, Engineering, and business teams to deliver data quality reporting, dashboards, and governance improvements.

Qualifications

  • 4+ years of experience with Snowflake and database technologies.
  • Hands-on experience with AWS, particularly EC2 and S3.
  • Experience with data governance, data quality, metadata, lineage, and PII classification.
  • Strong Python and API automation skills.
  • Experience with Precisely Data Integrity Suite or similar tools is desirable.
  • Strong analytical, troubleshooting, and stakeholder management skills.

Additional Information

At Entain India, we offer a package and the support people need to make an impact. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:

  • Safe home pickup and home drop.
  • A regular bonus and great pension.
  • 24 days annual leave.
  • Extra paid leave, including wellbeing and development days.
  • Life assurance and Income Protection.
  • Private healthcare and wellbeing support.
  • INR 3,000 per month Communication allowance.
  • Up to INR 16,000 per year in Crèche expenses (children under 3).

Equal Opportunities.

We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.

We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

Company Description

Entain India is the engineering and delivery powerhouse for Entain, one of the world's leading global sports and permissible gaming groups. Established in Hyderabad in 2001, we've grown from a small tech hub into a dynamic force, delivering the latest software solutions and support services that power billions of transactions for millions of users worldwide.

At scale drives us to create technology that supports Entain's mission to lead the change in global sports and permissible gaming sector. At Entain India, we make the impossible possible, together.

Entain has adopted globally recognized best practices by joining the EDM Association's DCAM® (Data Management Capability Assessment Model) framework in 2023 and became a founder member of the DEP (Data Excellence Program) which was launched in 2024. This is part of Entain's drive towards recognition as a world-class data management leader. DCAM is designed to enhance data management processes and nurture a data-centric culture. This is significantly improving the utilization of data analytics, organizational data literacy, client experiences, and driving data & AI strategy for the business.

The Data Trust & Integrity team is responsible for strengthening how data is governed, owned, controlled, classified and monitored across Entain.

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Source & posting history

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Pay

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Location & working pattern

Hyderabad, Telangana, India

As a Data Engineer within the Data Trust & Integrity (DTI) team, you will help implement Entain's data governance and cataloguing platforms. Your role will have a hands-on, and you will also manage the daily operation of these platforms. You will work with our teams to onboard data sources, automate data discovery and classification, and maintain the tooling that supports data quality, lineage, semantic identification, and PII protection across the organisation. Reporting to the Data Engineering Manager, you'll help strengthen Entain's data governance capabilities through automation, data quality, metadata management, and cloud data technologies. You will be a hybrid model. Main Responsibilities
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Sep 28, 2026
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