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Tier-1 brand, mid-level data role in Bangalore with common skillset drives high competition.
Core data engineering skills (Python, Airflow, Spark, AWS) are highly transferable across industries.
Explicit 5+ years requirement plus mandatory Python, AWS, Terraform and data tooling makes shortlisting strict.
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Develop and maintain large-scale data processing workflows and infrastructure powering key streaming platforms like Disney+, Hulu, ESPN+, and Star+.
Drive engineering best practices and quality standards within the team and across the organization related to data orchestration and cloud platform.
Collaborate cross-functionally to architect scalable solutions and evolve platform capabilities based on data-driven insights and business needs.
5+ years professional experience with a bachelor’s degree in Computer Science or related field OR 3+ years with a master’s degree in Computer Science or related field.
Proficient in Python programming and deploying/running cloud applications, preferably on AWS with infrastructure-as-code tools like Terraform.
Experience with large-scale data processing and workflow scheduling platforms relevant to analytics and data science.
Work Experience Required: 5+ years (bachelor’s) or 3+ years (master’s)
Experienced in data engineering ecosystems supporting real-time and batch data pipelines in media streaming or similar domains.
Skilled at both deep technical problem solving and understanding overall system architecture to deliver user-focused software.
Familiarity with Scala, Airflow, Spark, Snowflake, and ETL practices increases suitability but is not mandatory.