Senior Software Engineer - Data Platform, Hyderabad

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Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Software Engineer ( Data Platform Team) - Hyderabad, India. About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: The Data Platform team at Warner Bros. Discovery powers data-driven experiences across global products like Max, Discovery+, Sports, Studios, and News. The team builds and operates a scalable, multi-tenant data ecosystem that enables analytics, real-time insights, and machine learning use cases across the organization. Positioned at the core of the data journey, the team is responsible for ingesting, processing, and transforming large volumes of client and server-side data into reliable and high-quality datasets. Operating at the intersection of data and platform engineering, the team focuses on building robust pipelines, ensuring data quality and governance, and driving innovation in real-time processing, observability, and modern data infrastructure. The team collaborates closely with product, analytics, and engineering stakeholders to enable data-driven decision-making at scale . Roles & Responsibilities: Has a track record of having built multiple high-performance, stable, scalable data systems that have been successfully shipped to production. Drives best practices and sets standards for the team in areas like data modeling, pipeline architecture, and system design. Is a key influencer in the team's strategy and contributes significantly to the team planning. Shows good judgment making trade-offs between immediate and long-term business needs. Is a result-driven creative thinker who drives innovation and produces delightful experiences for our data consumers and internal customers. Is an advocate for data-driven decision-making, has an insatiable curiosity, and loves to invent and innovate to solve difficult problems. Has a strong point of view but remains open-minded. Take ownership of their work and consistently deliver results in a fast-paced environment. You are a collaborative leader that makes other engineers and team members around you more productive, by sharing your knowledge and helping to tie-break key technical decisions. You play a leading role in designing and developing major data infrastructure components, involving yourself and other engineers. You are a key influencer in your team's strategy and contribute significantly to team planning. You show good judgement making trade-offs between immediate and long-term business needs. You troubleshoot production issues by reviewing logs, metrics, data pipelines, and system health to pinpoint specific problems and then resolve them. You identify root causes and identify learnings to improve both development processes and system design. Provide guidance on design, coding, and operational best practices for data engineering. You propose and create best practices proactively where none exist. You make high-impact decisions driving how and what data systems get built. You mentor junior engineers, overseeing their designs, code quality, and integration into a team. Your success is judged as much on your own productivity as on the positive impact you have on the engineers around you. What to Bring: Proficient in Python and/or Scala/Java with 5-9 years of total experience in data engineering or related fields. Strong experience with distributed data processing frameworks such as Apache Spark, Flink, or similar technologies. Deep understanding of data pipeline orchestration tools like Apache Airflow, Dagster , or Prefect. Experience with cloud data platforms (AWS, GCP, or Azure) including services like S3, Redshift, BigQuery , Databricks, or Snowflake. Hands-on experience with real-time streaming technologies such as Apache Kafka, Kinesis. Experience with data lake/ lakehouse architectures and formats like Parquet, Avro, Delta Lake, or Iceberg. Strong und