Job Description
Role: Data Engineer (Digital Wallet) Location: Scottsdale AZ (hybrid) Duration: FTE & C2C Job Description: Must have : Skillset: Java, Scala, S3, Glue, aws , Redshift. 6-8 years of IT experience focusing on enterprise data architecture and management. • Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling • Experience with Databricks & on Prem, Structured Streaming, Delta Lake concepts, and Delta Live Tables required • Experience with Spark Scala and Java programming • Data Lake concepts such as time travel and schema evolution and optimization • Structured Streaming and Delta Live Tables with Databricks as a bonus • Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation/support • Advanced level understanding of streaming data pipelines and how they differ from batch systems • Formalize concepts of how to handle late data, defining windows, and data freshness • Advanced understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc • Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermarks, etc. • Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus • Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness • Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization) • Indexing and partitioning strategy experience • Debug, troubleshoot, design, and implement solutions to complex technical issues • Experience with large-scale, high-performance enterprise big data application deployment and solution • Architecture experience in AWS environment a bonus • Familiarity working with Lambda specifically with how to push and pull data, how to use AWS tools to view data for processing massive data at scale a bonus • Experience with Gitlabs and CloudWatch and ability to write and maintain Gitlabs for supporting CI/CD pipelines • Experience working with AWS Lambdas for configuration and optimization and experience with S3 • Familiarity with Schema Registry, and message formats such as Avro, ORC, etc. • Ability to thrive in a team-based environment • Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior-level of management Apply tot his job