Data Platform Engineer

Job Summary:

The Data Platform Engineer will help strategize and build our next generation cloud-based enterprise Data Platform. Wawa's Enterprise Data Platform will contain components of data ingestion, storage, and data warehousing. The platform will be the base for future analytic and insight projects to help grow Wawa's core business and give greater capabilities around descriptive predictive and prescriptive reporting and analysis. Develop and deploy Data Platform tools that enable our data science and analytics teams to move faster, build better products, and deliver high-impact insights that will transform our business.

Principal Duties:

• Deploy, maintain, and administer analytic platforms & tools that enable state of the art, modern data capabilities for data engineers, data scientists, and analytic users and applications.
• Assist application development teams during application design and development for highly complex and critical data projects to ensure platforms are enabled for targeted use-cases.
• Contribute to the underlying platforms of all data projects including migration to new cloud-based Data Platforms for unstructured, streaming and high-volume data.
• Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable rapid deployment of end user capabilities
• Creates and maintains DevOps processes, application infrastructure, and utilizes cloud services (including database systems and data models)
• Developing data solutions on cloud data centers such as AWS
• Provides 24x7 rotating support of production systems to ensure business continuity
• Contributes to and defines environment and platform standards, processes, and best practice documentation

Essential Functions:

• Handle multiple priorities simultaneously
• Ability to build strong trusting relationships with business partners
• Ability to work in a fast-paced, team environment
• Very strong communication skills and ability to lead initiatives
• Strong collaborator with experience wearing multiple hats on smaller teams and cross training other team members
• Basic project management skills required

• Experience implementing and maintaining Data Platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g. Snowflake, Databricks, EMR)
• Experience with AWS development on S3, EC2, EMR/Hive, Cloud Formation Templates, IAM, Security Groups, SQS, SNS, Redshift, Athena, Lambda,
• Experience with Hadoop ecosystem (Cloudera) and Apache Spark
• Experience with streaming technologies and data structures: Kafka, Kinesis, Firehose, XML, JSON
• 3-5 years Python, Java, or Scala programming experience
• SQL and database basics (Structures, Data Models, Partitions, Statistics, Optimizations)
• Experience in source control tooling like Git, SVN, et
• Linux/ Bash scripting
• Open Source Toolset Configuration (Nifi, Kafka, Jupyter, Zeppelin)
• DevOps and IAC Tooling experience with tools such as Ansible Terraform and Pulumi
• AWS Certification Prefer
• Understanding of networking and infrastructure fundamentals including firewalls, Active Directory integration, and general troubleshooting
• Prior experience with Talend Cloud a huge plus