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Tier-1 brand, mid-level Bangalore data engineer role with common tech stack yields high applicant competition.
Skills like Databricks, Spark, Scala/Python and cloud are transferable across industries but require data-engineering background.
Explicit 5+ years plus mandatory Databricks, Spark, Scala/Python and cloud experience increases shortlisting strictness.
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Design, develop, and maintain scalable data pipelines and data products using Scala, Python, Spark, and related technologies to support Disney Entertainment & ESPN's product performance data needs.
Implement and evolve the Lakehouse architecture to improve data platform capabilities and operational efficiency, collaborating with cross-functional teams including Data Product Managers and Architects.
Ensure high operational uptime and quality adherence to SLAs while actively participating in agile processes and proactively solving technical and business challenges.
Minimum 5 years of experience in data engineering with hands-on development of large-scale data pipelines.
Proficiency with AWS cloud services (S3, EMR, EC2), Databricks, Spark, Python, Scala, SQL, and experience with MPP/cloud databases such as Snowflake or Redshift.
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or equivalent experience.
Work location: Bangalore, India. Notice period: Not explicitly mentioned in the JD.
Experienced in building and optimizing distributed data processing systems and pipelines at scale with demonstrated strong programming and algorithmic problem-solving skills.
Comfortable operating within agile/scrum teams and collaborating across multiple technical and product disciplines to deliver data solutions that meet business requirements.
Familiar with data modeling, data warehousing best practices, automated testing, and cost optimization in cloud environments.