Role : Automation QA Engineer / Big Data / ETL Tester
Location : Scottsdale AZ (Day 1 Onsite)
Hire type : C2C . FTE , CTH
Must have : Automation , java , AWS , ETL , Scala , Spark
Required:
6-8 years of IT experience focusing on Testing and Automation experience using Java and Groovy.
Rest assured app concepts in automation.
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
Experience leading and architecting enterprise-wide initiatives specifically in automation testing for ETL testing and several phases of testing, data migration, transformation.
Understanding of streaming data pipelines and how they differ from batch systems understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc
Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization)
Indexing and partitioning strategy experience
Debug, troubleshoot, and implement solutions to complex technical issues
Experience with large-scale, high-performance enterprise big data application deployment and testing
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 Gitlab and CloudWatch and ability to write and maintain Gitlab 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