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Senior Data Scientist

DAZN
Hyderabad, IND
Full-time
Senior
Onsite
Discovered 2 weeks ago
PythonSQLAWSGCPAzureSpark

Full Job Posting

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes across cloud platforms.
  • Lead the architecture and implementation of DAZN’s data infrastructure to support analytics, ML, and reporting.
  • Collaborate with data scientists, analysts, and product teams to deliver high-quality, reliable datasets.
  • Optimize data storage, processing, and performance for large-scale, real-time data streams.
  • Ensure data quality, governance, and security across all data environments.
  • Mentor and guide a team of data engineers, fostering best practices and technical excellence.
  • Evaluate and adopt new data technologies to continuously improve DAZN’s data ecosystem.

Skills, Knowledge & Expertise

  • Strong experience with Python , SQL , and modern data engineering frameworks .
  • Expertise in building and optimizing ETL/ELT pipelines and data workflows .
  • Hands-on experience with cloud data platforms (e.g., AWS, GCP, or Azure).
  • Proficiency in big data technologies like Spark , Databricks , or Kafka .
  • Solid understanding of data modeling , data warehousing , and distributed systems .
  • Experience with orchestration tools such as Airflow , dbt , or similar.
  • Knowledge of data governance , security , and best practices for scalable data systems.
  • Familiarity with CI/CD , infrastructure-as-code , and DevOps concepts.
  • Excellent problem-solving , leadership , and collaboration skills

Requirements

  • Strong experience with Python , SQL , and modern data engineering frameworks .
  • Expertise in building and optimizing ETL/ELT pipelines and data workflows .
  • Hands-on experience with cloud data platforms (e.g., AWS, GCP, or Azure).
  • Proficiency in big data technologies like Spark , Databricks , or Kafka .
  • Solid understanding of data modeling , data warehousing , and distributed systems .
  • Experience with orchestration tools such as Airflow , dbt , or similar.
  • Knowledge of data governance , security , and best practices for scalable data systems.
  • Familiarity with CI/CD , infrastructure-as-code , and DevOps concepts.
  • Excellent problem-solving , leadership , and collaboration skills

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