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Lead Data Engineering at DAZN – Hyderabad Knowledge city | Jobyssey

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Lead Data Engineering

Lead Data Engineering

DAZN · Hyderabad Knowledge city, , TSIIC, Raidurg, · 1 week ago

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Work mode: Onsite
Seniority: Lead
Category: Data engineering
Experience: 10+ years

airflow analytics aws azure ci-cd cloud data-governance data-modeling data-quality data-warehousing dbt

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Lead Data Engineer at DAZN's Hyderabad office who owns semantic data models and scalable Snowflake transformations using SQL/dbt, manages Airflow pipeline orchestration, drives data quality and CI/CD best practices, and mentors junior engineers while partnering with Product, Finance, and Marketing stakeholders.

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.

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.

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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