Data Engineer

Data Engineer (Digital Wallet)

Location: Scottsdale AZ (hybrid) Duration: FTE & C2C

Job Description:

Must have: Skillset: Java, Scala, S3, Glue, Python, AWS.

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.