Overview
Lead a team of data engineers in the Application Data Engineering organization within Disney Entertainment & ESPN Product & Technology, providing tier 3 support and building stable, scalable data pipelines for the foundational data platform.
What you'll do
- Build and mentor high-performance teams focused on stable, reliable, scalable and high performant data pipelines.
- Help create and maintain an engineering culture that embraces diversity and fosters trust and innovation in teams.
- Develop a strong technical platform vision that inspires team members to build configuration driven platform tools.
- Collaborate with Data Product Managers, Data Architects, Software and Data Engineers, and leadership to drive business driven solutions.
- Participate in agile processes, helping develop and refine them to enhance delivery velocity.
- Set engineering standards and best practices, ensuring high-quality code, operational continuity and stability.
- Diagnose and resolve issues as they occur, stepping into a technical lead role when needed.
What you'll need
- Bachelor's degree in a quantitative or analytical field such as mathematics or computer science.
- 8+ years of relevant professional experience.
- 3+ years in a direct people management capacity.
- Experience scaling and managing a team of 5+ members.
- 5+ years work experience building complex data pipelines, with a strong background in stream processing and batch processing.
- 5+ years of proficient SQL experience across database systems including distributed systems such as Spark, Hive, BigQuery, Snowflake, Redshift.
- 5+ years of experience programming in scripting languages such as Scala, Python, Bash.
- 5+ years of experience with workflow management tools such as Airflow, Oozie, Azkaban, UC4.
- Strong project and program management experience in agile, fast-paced environments.
- Strong communication skills, written and verbal presentations.
- Excellent conceptual and analytical reasoning competencies.
- Expertise in programming languages such as Scala, Java, Python relevant to Data Engineering.
- Proven ability to manage large scale multiyear projects collaborating with multiple stakeholders across multiple organizations.
- Exceptional problem-solving, strategic thinking, and communication skills.
Nice to have
- Familiarity with data exploration / data visualization tools like Tableau, Looker, Databricks, etc.
- Master's degree in a plus.
Details
- Location: Bangalore, India.
- Employment type: Full time.
Read the full description and apply on the company’s own careers page.