Data Engineer

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