Data Engineer

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.

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. 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:

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