Sr. Data Engineer
The Walt Disney Company · Bengaluru
- Experience5–9 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelsenior
- Posted2 Sept 2026
About The Walt Disney Company
The Walt Disney Company is hiring in Bengaluru in media advertising. This role looks for around 5+ years of experience.
Skills
- Apache Spark
- Python
- Scala
- AWS
- SQL
- Hadoop
- PySpark
- Snowflake
- Amazon Redshift
- Google BigQuery
- Apache Airflow
- Databricks
- Delta Lake
- data modeling
- data warehousing
- Agile
- Scrum
The role
A data engineer at a media and entertainment company builds data products and scalable pipelines with Apache Spark, Python, and Scala, shaping Lakehouse platforms for analytics and data science. The role applies cloud data engineering and data modeling to reliable, governed datasets.
Full job description
Responsibilities:
Contribute to the architecture, design, and growth of our Data Products and Data pipelines in Scala and Python / Spark while maintaining uptime SLAs.
Develop scalable solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid).
Implement the Lakehouse architecture, working with key partners to shift towards a Lakehouse-centric data platform.
Collaborate with Data Product Managers, Data Architects, and Data Engineers to design, implement, and deliver successful data solutions.
Maintain detailed documentation of your work and changes to support data quality and data governance.
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams).
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team.
Be a problem solver; when presented with new challenges, you are expected to research and network to find solutions.
Seek out answers to business problems and look for opportunities to automate processes and optimize costs.
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and
incremental platform improvements.
Requirements:
Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.
At least 5 years of data engineering experience developing large data pipelines.
Strong hands-on Experience with Cloud technologies like AWS (S3 EMR, EC2) and building data pipelines.
Strong algorithmic problem-solving expertise.
Strong SQL skills and ability to create queries to extract data and build performant datasets.
Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data.
Strong fundamental Scala and Python programming skills.
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, BigQuery).
Solid experience with data integration toolsets (i. e, Airflow) and writing and maintaining Data Pipelines with Databricks.
Experience in Data Modeling techniques and Data Warehousing standard methodologies and practices.
Familiar with Scrum and Agile methodologies.
Demonstrated excellent interpersonal and communication skills, including the ability to partner with others and build consensus in a cross-functional team toward a desired outcome.
Preferred Qualifications:
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query).
Experience with Software Application development.
Good data acumen to understand domain /functional knowledge and to be able to articulate analysis of data points in a business context for stakeholders.
Experience working with a test-first mentality.
Deep Understanding of AWS or other cloud providers, as well as infrastructure as code.
Tech stack:
AWS
Snowflake
Spark
Databricks
Delta Lake
Airflow
Python
Scala