Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
About the role
- Data Engineer III at Taco Bell enriching customer data assets and building data pipelines for marketing and analytics. Collaborating on cross-functional teams in a hybrid work environment.
Responsibilities
- 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.
Requirements
- 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, DynamoDB, 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
Benefits
- 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 immediate vesting
- Comprehensive medical & dental including prescription drug benefits and 100% preventive care
- Discounts, free food, swag and… honestly, too many good benefits to name
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