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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular senior data role in Hyderabad with broad cloud, big-data, and streaming requirements.
Core data engineering skills transferable, but streaming and real-time expertise adds domain specificity.
Multiple mandatory big-data, cloud, orchestration, and leadership requirements increase filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and optimization of scalable data pipelines and platforms supporting analytics, ML, and reporting in a global sports streaming context.
Own architecture and implementation of data infrastructure to enable data-driven decisions impacting millions of sports fans worldwide.
Mentor and lead data engineering teams while ensuring data quality, governance, security, and performance of large-scale, real-time data environments.
Minimum Requirements
Strong hands-on experience with Python, SQL, and modern data engineering frameworks.
Proven expertise in designing and optimizing ETL/ELT pipelines across cloud platforms (AWS, GCP, or Azure).
Experience with big data technologies such as Spark, Databricks, or Kafka and orchestration tools like Airflow or dbt.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced senior data engineer or scientist with leadership responsibility in scalable data infrastructure for real-time analytics and ML.
Comfortable operating in dynamic, cloud-based, big data ecosystems supporting large user bases with diverse and high-volume data streams.
Skilled in collaborating cross-functionally with data scientists, analysts, and product teams to deliver high-quality datasets and continuously adopt new data technologies.