FOX

Data Engineer

Bengaluru, KA, India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerFOX
LocationBengaluru, KA, India
Work styleWork style not stated
Employment typeFull time
Employer posted9 Oct 2026

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

The FOX Data and Commercial Technology Team is looking for Data Engineers with a passion for building robust, scalable, efficient, and high-quality Data Engineering solutions to join our Engineering Centre of Excellence in Bangalore, India. This is a great opportunity to join a data-first media company and be part of our Enterprise Data Platform team that prides itself in making Fox a data-driven organization. If you enjoy designing and building innovative data engineering solutions using the latest tech stack in a fast-paced environment, this role is for you.

Show full description

Primary Job Duties and Responsibilities

Collaborate with and across Agile teams to design and develop data engineering solutions by rapidly delivering value to our customers

Build distributed, low latency, reliable data pipelines ensuring high availability and timely delivery of data

Design and develop highly optimized data engineering solutions for Big Data workloads to efficiently handle continuous increase in data volume and complexity

Build highly performing real-time data ingestion solutions for streaming workloads.

Adhere to best practices and agreed upon design patterns across all Data Engineering solutions

Ensure the code is elegantly designed, efficiently coded, and effectively tuned for performance

Focus on data quality and consistency, implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Create design (Data Flow Diagrams, Technical Design Specs, Source to Target Mapping documents) and test (unit/integration tests) documentation

Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Focus on end-to-end automation of data engineering pipelines and data validations (audit, balance controls) without any manual intervention

Focus on data security and privacy by implementing proper access controls, key management, and encryption techniques.

Take a proactive approach in learning new technologies, stay on top of tech trends, experimenting with new tools & technologies and educate other team members.

Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Communicate clearly and effectively to technical and non-technical leadership

Minimum Qualifications:

Education: Bachelor’s degree in Computer Science, Computer Engineering, or relevant field

Work Experience:

Data Engineer: 4+ years of experience in designing and building Data Engineering solutions

Senior Data Engineer: 7+ years of experience in architecting, designing and building Data Engineering solutions and Data Platforms

Experience in building Data Warehouses/Data Platforms on Redshift/Snowflake

Experience working with data acquisition and transformation tools such as Fivetran and DBT

Experience building highly optimized & efficient data engineering pipelines using Python, PySpark

Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink

Experience working with real-time data streams processing using Apache Kafka, Kinesis or Flink

Experience working with various AWS Services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog)

Expertise in Advanced SQL programming and SQL Performance Tuning

Experience with version control tools such as GitHub or Bitbucket.

Expert level understanding of dimensional modeling techniques

Excellent communication, adaptability, and collaboration skills

Excellent analytical skills, strong attention to detail with emphasis on accuracy, consistency, and quality

Strong logical and problem-solving skills with critical thinking

Good to Have:

Experience in designing and building applications using Container and serverless technologies

Experience working with fully automated workflow scheduling and orchestration services such as Apache Airflow

Experience working with semi-structured, unstructured data, No SQL databases

Experience with CI/CD using GitHub Actions or Jenkins

Experience designing and building APIs

Learn more about Fox Tech at https://tech.fox.com

#foxtech

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.