Data Engineering Architect/ Remote (Vancouver, WA),3+ Months Contract

Job Description The data engineering role is a team member that will help enhance and maintain the Instant Ink Business Intelligence system. You will drive work you're doing to completion with hands-on development responsibilities, and partner with the Data Engineering leaders to implement data engineering pipelines to build solution to help provide trusted and reliable data to customers. Responsibilities • Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem. • nalyzes design and determines coding, programming, and integration activities required based on general objectives. • Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards • Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture. • Collaborates and communicates with project team regarding project progress and issue resolution. • Works with the data engineering team for all phases of larger and more-complex development projects and engages with external users on business and technical requirements. • Collaborates with peers, engineers, data scientists and project team. • Typically interacts with high-level Individual Contributors, Managers and Program Teams on a daily/weekly basis. • What you bring : • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent. • 6+ years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. • 3+ years of experience with Cloud based DW such as Redshift, Snowflake etc. • 3+ years' experience in Big Data Distributed ecosystems (Hadoop, SPARK, Hive & Delta Lake) • 3+ years experience in Workflow orchestration tools such as Airflow etc. • 3+ years' experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc. • Leverage monitoring tools/frameworks, like Splunk, Grafana, CloudWatch etc. • Experience with container management frameworks such as Docker, Kubernetes, ECR etc. • 3+ year's working with multiple Big Data file formats (Parquet, Avro, Delta Lake) • Experience working on CI/CD processes such as Jenkins, Codeway etc. and source control tools such as GitHub, etc. • Strong experience in coding languages like Python, Scala & Java • Knowledge and Skills • Fluent in relational based systems and writing complex SQL. • Fluent in complex, distributed and massively parallel systems. • Strong analytical and problem-solving skills with ability to represent complex algorithms in software. • Strong understanding of database technologies and management systems. • Strong understanding of data structures and algorithms • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools. • Strong analytical and problem-solving skills. • Nice to Have • Experience with transformation tools such as dbt. • Have experience in building realtime streaming data pipelines • Experience in pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming etc. Apply tot his job