Data Engineer

Why you’ll love this role

As a Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.

What you'll do 

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation 
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders 
• Build and support reusable framework to ingest, integration and provision data 
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud 
• Define and implement automation of jobs and testing 
• Optimize the data pipeline to support ML workloads and use cases 
• Support mission critical applications and near real time data needs from the data platform 
• Capture and publish metadata and new data to subscribed users 
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session 
• Participate in design and code reviews 
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you 

• Minimum of 3 years’ experience in distributed systems like Data warehouse / Data lake technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) to build data pipelines 
• Minimum 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark, Databricks), Real time processing (e.g. Kafka, Flink/Spark Streaming) 
• Minimum of 2 years' experience with AWS or engineering in other cloud environments 
• Advanced proficiency in SQL and familiarity with DBT
• Experience with Database Architecture, Schema design 
• Strong familiarity with batch processing and workflow tools such as AirFlow, NiFi 
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions 
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience 
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery 
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering 
• Bachelor's degree in Computer Science, or a related technical field 
• Nice to have: 
• Masters in Computer Science or related quantitative field 

Last updated on Jul 30, 2024