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Lead Data Engineering

DAZN
Hyderabad, IND
Full-time
Senior · 10+ years experience
Onsite
Discovered 2 weeks ago
SnowflakeSQLdbtAirflowPrefectLuigi

Full Job Posting

Key Responsibilities

  • Lead the development and governance of DAZN’s semantic data models to support consistent, reusable reporting metrics.
  • Architect efficient, scalable data transformations on Snowflake using SQL/DBT and best practices in data warehousing.
  • Manage and enhance pipeline orchestration with Airflow , ensuring timely and reliable data delivery.
  • Collaborate with stakeholders across Product, Finance, Marketing, and Technology to translate requirements into robust data models.
  • Define and drive best practices in version control, testing, CI/CD for analytics workflows.
  • Mentor and support junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Champion data quality, documentation, and observability across the analytics layer.

Skills, Knowledge & Expertise

  • 10+ years of experience in data/analytics engineering, with 2+ years leading or mentoring engineers .
  • Deep expertise in SQL and cloud data warehouses (preferably Snowflake ) and Cloud Services(AWS /GCP/AZURE)
  • Proven experience with dbt for data modeling and transformation.
  • Hands-on experience with Airflow (or similar orchestrators like Prefect, Luigi).
  • Strong understanding of dimensional modeling, ELT best practices, and data governance principles.
  • Ability to balance hands-on development with leadership and stakeholder management.
  • Clear communication skills — you can explain technical concepts to both technical and non-technical teams.

Requirements

  • 10+ years of experience in data/analytics engineering, with 2+ years leading or mentoring engineers .
  • Deep expertise in SQL and cloud data warehouses (preferably Snowflake ) and Cloud Services(AWS /GCP/AZURE)
  • Proven experience with dbt for data modeling and transformation.
  • Hands-on experience with Airflow (or similar orchestrators like Prefect, Luigi).
  • Strong understanding of dimensional modeling, ELT best practices, and data governance principles.
  • Ability to balance hands-on development with leadership and stakeholder management.
  • Clear communication skills — you can explain technical concepts to both technical and non-technical teams.

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