Senior Data Engineer

The FOX Data Platform Team is looking for Senior Data Engineers with a passion for building robust, scalable, efficient, and high-quality Data Engineering solutions to join our Data Engineering team. 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.

ABOUT YOU

• Strong curiosity about our business: you are willing to ask questions, do research, and build a deep understanding of the FOX landscape.

• Innovative: you stay on top of industry developments, are excited about innovation, and look for ways to bring new ideas to our business. You are passionate about technology.

• Enthusiasm about operational products and the opportunity they provide for creating outstanding employee experiences: you enjoy delivering products that make work easier for colleagues.

• Perseverance in the face of ambiguity or roadblocks: you are a problem solver who uses all resources available to understand the issues and propose a path forward

• Emotional intelligence: you can read the room, know when to speak vs. when to listen, and know that connecting personally with your colleagues delivers positive outcomes.

• Bridge building skills - you establish trusted and productive relationships with internal and external stakeholders, both business and technical.

• A self-starter mentality - you are oriented to growth and are a quick learner..

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Collaborate with and across agile teams to design and develop data engineering solutions.

• 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
   

WHAT YOU WILL NEED

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

• Work Experience: Senior Data Engineer: 4+ years of experience in architecting, designing and building Data Engineering solutions and Data Platforms.

• Experience in building Lakehouse or Data Warehouses on Databricks or Snowflake.

• Expertise in designing and building highly optimized batch/streaming data pipelines in Data Bricks

• 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 Spark Structured Streaming

• 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.

• Experience working with fully automated workflow scheduling and orchestration services such as Astronomer or Apache Airflow.

• Experience with CI/CD using GitHub Actions or Jenkins.

• 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
   

NICE TO HAVE, BUT NOT A DEAL BREAKER

• Experience in designing and building applications using Container and serverless technologies.

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

• Experience designing and building APIs.

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