Live opening · Posted 1 day ago

Lead Data Engineering

DAZN · Greater Hyderabad Area (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyDAZN
LocationGreater Hyderabad Area (On-site)
Work modeNo
SkillsAWS, Azure, GCP
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Department: 61-416 - Technology - Hyderabad
Location: India - Hyderabad
Description
Why Join DAZN?
Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. You’ll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Hyderabad offers a dynamic work environment with a great balance of career growth and lifestyle. If you’re excited about shaping the future of live and on-demand sports entertainment, DAZN Hyderabad is the perfect place to make your mark and grow your career.
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.

Work arrangement
No

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