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Data Engineering Manager at The Walt Disney Company — Bengaluru

Experience13–17 yrs
SalaryNot disclosed
Work modeonsite
Levelexecutive
Posted2 Sept 2026

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About The Walt Disney Company

The Walt Disney Company is hiring in Bengaluru in media advertising. This role looks for around 13+ years of experience.

Skills

data engineering
data pipelines
data modeling
dimensional modeling
data normalization
SQL
Databricks
data warehousing
analytic SQL
relational databases
distributed systems
Snowflake
Redshift
KPI reporting
team leadership

The role

A data engineering manager at a media and entertainment company builds data pipelines and leads data warehousing initiatives using data modeling, SQL engines, and Databricks. The role also applies Python, PySpark, and Airflow to deliver analytics infrastructure and actionable business insights.

Full job description

Requirements:

7+ years of data engineering experience developing large data pipelines.

Strong understanding of data modeling principles, including dimensional modeling and data normalization principles.

Good understanding of SQL engines and Databricks.

Ability to think strategically, analyze, and interpret market and consumer information.

Ability to interpret data, identify insights, and communicate actionable strategies to senior levels of the organization.

Strong interpersonal, communication, and presentation skills; experience working cross-functionally.

Proven ability to lead and drive work across cross-functional teams.

Confirmed ability to lead a team, including prioritizing work and driving high-level output.

Flexible and adaptable to changing priorities and business needs.

Preferred Qualifications:

4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.

5+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.

3+ years of experience with programming languages (e. g., Python, PySpark), preferred.

3+ years of experience with data orchestration/ETL tools (Airflow, NiFi), preferred.

Experience with Snowflake, Databricks/EMR/Spark, and Airflow, a plus.