Strong background with source control management systems; Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps) • Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems • Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise • Creating and maintaining ETL processes • Knowledgeable of best practices in information technology governance and privacy compliance • Troubleshoot complex problems and work across teams to meet commitments • Excellent computer skills and proficiency in digital data collection • Ability to work in an Agile/Scrum team environment • Strong interpersonal, verbal, and writing skills • Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses • Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services • Understanding of GDPR, privacy & security topics • Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python. • Experience with Adobe solutions (ideally Adobe Experience Platform, XDM, RTCDP DTM/Launch) and REST APIs • Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.) • Knowledge of Real Time-CDP and Journey Analytics solution • SQL experience: querying data and sharing what insights can be derived • Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management • Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle • Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets • Understanding of cloud computing technologies, business drivers and emerging computing trends • Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc.