Data Engineer III

About the Job

Taco Bell is seeking to add a savvy Data Engineer to join our growing Data and Analytics team. We are looking for a self-driven Data Engineer proficient with SQL & ETL pipelines who is familiar with Cloud technology preferably AWS and has scripting experience. You will work with cross functional partners and third-party vendors to enrich our customer data assets by acquiring, organizing, and aggregating customer data from various sources to construct a full and accurate 360 view of our customer for use in direct/email marketing, targeted media campaigns and analytics.

You will build data pipelines to source, analyze and validate data from internal and external customer data sources. This is a great opportunity to work on state-of-the‑art data products in a friendly and fun environment.

• Design and develop highly scalable and extensible data pipelines from internal and external sources using cloud technology such as AWS, Airflow, Redshift, EMR.
• Implement new source of truth datasets, in partnership with analytics and business teams.
• Collaborate with data product managers, data scientists, data analysts, and data engineers to document requirements and data specifications.
• Develop, deploy, and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3, and Glue.
• Focus on performance tuning, optimization and scalability to ensure efficiency.
• Build out a robust big data ingestion framework with automation, self‑heal capabilities and ability to handle data drifts.
• Adopt automated and manual test strategies to ensure product quality.
• Learn and understand how Taco Bell products work and help build end‑to‑end solutions.
• Ensure high operational efficiency and quality of your solutions to meet SLAs.
• Actively participate in code reviews and summarize complex data into usable, digestible datasets.

• Bachelor's degree in analytics, statistics, engineering, math, economics, computer science, information technology or related discipline.
• 2+ years professional experience in the big data space.
• 2 - 5 years of experience designing and delivering large scale, 24-7, mission‑critical data pipelines and features using modern big data architectures.
• 2+ years of hands‑on experience in strong coding skills with Python/Pyspark/Spark and SQL.
• 3+ years of hands‑on experience in ETL pipeline such as Informatica, AWS Glue etc.
• 3+ years of experience working in Redshift or other relevant databases.
• Expert knowledge in writing complex SQL and ETL development with experience processing extremely large datasets.
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
• Experience integrating data using streaming technologies such as Kinesis Firehose, Kafka.
• Experience with AWS Ecosystem, especially Redshift, Athena, Dynamo
  
  DB, Airflow and S3.
• Experience integrating data from multiple data sources and file types such as JSON, Parquet and Avro formats.
• Experience supporting and working with cross‑functional teams in a dynamic environment.
• Strong quantitative and communication skill.
• Experience with CI/CD tools like Gitlab, Terraform.

• Proficiency with automated testing using tools like pytest.
• Experience with customer data platforms such as Amperity and Mar Tech platforms.
• Experience contributing to full lifecycle deployments with a focus on testing and quality.
• Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement.
• Experience in data quality tools such as Informatica DQ or similar.

• Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year‑round flex day Friday.
• Onsite childcare through Bright Horizons.
• Onsite dining center and game room (yes, there is a Taco Bell inside the building).
• Onsite dry cleaning, laundry services, carwash.
• Onsite gym with fitness classes and personal trainer sessions.
• Up to 4 weeks of vacation per year plus holidays and time off for volunteering.
• Generous parental leave for all new parents and adoption assistance program.
• 401(k) with a 6% matching contribution from Yum! Brands with…