Key Responsibilities

* Design, build, and maintain scalable data pipelines for batch and real-time data.

* Integrate data from oneD applications, websites, Smart TVs, content platforms, advertising systems, subscription systems, and third-party tools.

* Develop and maintain data warehouses, data lakes, and analytical datasets.

* Ensure the accuracy, completeness, consistency, and freshness of data.

* Build automated data-quality checks, monitoring, alerts, and reconciliation processes.

* Create reliable datasets for product, content, marketing, finance, and management reporting.

* Support analytics for user acquisition, engagement, retention, churn, subscriptions, advertising, and content performance.

* Establish consistent definitions for key metrics such as MAU, watch time, active subscribers, conversion, churn, and content completion.

* Work with Product, Engineering, Analytics, Finance, Marketing, and Content teams to understand data requirements.

* Improve tracking implementation across mobile, web, tablet, and Smart TV platforms.

* Optimize data-processing performance, storage costs, and pipeline reliability.

* Maintain clear documentation covering data sources, pipelines, schemas, ownership, and business definitions.

* Apply appropriate data security, access-control, privacy, and governance standards.

* Investigate and resolve data discrepancies and pipeline failures.

Qualifications

* Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.

* At least 3–5 years of experience in data engineering or a related technical role.

* Strong proficiency in SQL and Python.

* Experience building ETL/ELT pipelines and data-integration workflows.

* Experience with cloud data platforms, preferably AWS.

* Good understanding of data warehouses, data lakes, dimensional modelling, and database design.

* Experience using workflow-orchestration and data-transformation tools.

* Familiarity with APIs, event tracking, streaming data, and third-party data integrations.

* Understanding of data-quality monitoring, testing, and incident resolution.

* Ability to translate business requirements into scalable technical solutions.

* Strong analytical, communication, documentation, and problem-solving skills.

* Comfortable working with internal teams and external technology partners.