Junior Data Engineer at Entain

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Snowflake, Dbt, Ci/Cd, Git, Power Bi, Tableau, Docker, Kafka, Kinesis, Mlops, RAG, Vector Databases, Data Pipeline Engineering, ETL

Industry

Entertainment Providers

Description

Company Description Entain India is the engineering and delivery powerhouse for Entain, one of the world's leading global sports and 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. Scale drives us to create technology that supports Entain's mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together. This means that not only do you get to work for a dynamic organization delivering pioneering technology, gaming and business solutions, you can also have an exciting and entertaining career. At Entain India, Bright Minds Shine Brighter. Job Description Data intelligence and AI play a transformational role in how we create value today and how we shape our future. We have a bold ambition to be a world-class data and AI-driven business for our customers across all our regions and departments. You will work within our ASE Data & AI function. You will support teams by building and maintaining data infrastructure that enables efficient analysis generation and generative AI and ML applications. You will maintain data pipelines and systems that serve our diverse data consumers across the business spanning our brands in the Americas and Southern Europe. By applying your data engineering skills, you'll ensure data-driven decision-making throughout the organization, supporting business growth. What you will do Help maintain data pipelines and Extract Transform and Load processes to support reporting, analytics, engineering and AI use cases. Work with internal and external data sources to ingest, process, and store datasets using existing connectors and APIs. Support the team in managing data within cloud DWH platforms such as Snowflake (or equivalent). Help develop data transformation workflows using DBT or similar tools. Help deploy data pipeline artifacts to production environments and support the team in managing releases. Help maintain CI/CD pipelines for data workflows, ensuring reliable and automated deployments. Write automated unit tests and data quality tests to support reliable deployments and ensure the correctness of data pipelines and transformations. Perform data validation checks and basic monitoring to help maintain data quality and reliability. Collaborate with senior data engineers and analysts to troubleshoot data pipeline issues and resolve data inconsistencies. Qualifications Essential: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience. Working knowledge of SQL for querying and transforming data Basic to intermediate experience with Python for data processing and scripting Familiarity with cloud data warehouse platforms such as Snowflake, Big Query, or similar Experience with data pipeline concepts Familiarity with Git or other version control systems Work in a collaborative team environment Basic familiarity with data visualization tools such as Power BI or Tableau Awareness of data quality validation or monitoring tools Experience with data governance and data management principles Exposure to event-driven or streaming data systems (Kafka, Kinesis) Familiarity with containerization tools such as Docker Exposure to CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) Interest in modern data engineering practices and AI/ML data workflows Understanding of MLOps concepts, including how data pipelines support machine learning model training, versioning, and deployment workflows Familiarity with AI/LLM-based systems, such as RAG, embeddings, or vector databases 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. If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you. 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. Advertising Department: Data & Analytics

Responsibilities

Maintain data pipelines and ETL processes to support reporting, analytics, and AI use cases. Collaborate with senior engineers to manage cloud data warehouses and ensure data quality through automated testing.