SEEKING EXPERIENCED DATA ENGINEER: We're a data consulting & analytics business that offers clients services across the entire data ecosystem. We're located in Southern California and have a small team of great engineers who do excellent work and have a partnership approach with the clients we serve. Currently we have an immediate project requirement for an experienced Data Platform Engineer, please contact us if interested. PROJECT: • Immediate requirement for a current project, we need to get started asap • 40 hrs/Week for a 3-month period, will likely extend to 40 hrs/week on-going • Open to contract or contract-to-hire WHAT WE WILL BE DOING: • Data Infrastructure and Data Modeling - Help design and implement Data Lakes, assist backend teams modeling their upstream transactional data, and physical data modeling for modern data warehouses • Data Pipelines - build end-to-end ETL/LT pipelines to populate the Data Warehouse and empower downstream analytical data consumers WHAT WE ARE LOOKING FOR: • BS degree in Computer Science or related technical field, or equivalent practical experience • 5+ years proven work experience as a Data Engineer, working with at least one programming language (Python, Scala, Go) plus SQL expertise • 5+ years experience with ETL/ELT design and implementation, including development best practices in testing, logging, monitoring • Extensive experience with infrastructure as code (terraform) and implementing data platforms from the group up on cloud ecosystems • Background working with distributed big data technologies such as Spark, Presto, Hive, etc. as well as data warehouse technologies including Snowflake, BigQuery, or Redshift • Extensive data modeling knowledge including in NoSQL, transactional dBs, columnar and row based distributed analytical data environments, as well as prior experience designing and implementing best practice Data Lakes • Knowledge of agile software development and continuous integration / deployment principles

SEEKING EXPERIENCED DATA ARCHITECT We're a data consulting & analytics business that offers clients services across the entire data ecosystem. We're located in Southern California and have a small team of great engineers who do excellent work and have a partnership approach with the clients we serve. Currently we have an immediate project requirement for a qualified Data Architect, please contact us if interested. PROJECT: • Immediate requirement for a current project, we need to get started asap • 40 hrs/Week for a 3-month period, will likely extend to 40 hrs/week on-going • Open to contract or contract-to-hire WHAT WE WILL BE DOING: • Data Architecture and Infrastructure - Help design and implement end-to-end data platforms, including the design and execution of microservices for data ingestion, data transformation, alerting, monitoring, and other key components of a data platform ecosystem. • Data Modeling - physical data modeling for distributed, columnar warehouses as well as data modeling for transactional back-end services • Data Pipelines - build end-to-end ETL/LT pipelines to populate Data Warehouses and empower downstream analytical data consumers WHATE WE ARE LOOKING FOR: • BS degree in Computer Science or related technical field, or equivalent practical experience • 2+ years experience as a Data Architect and 5+ years proven work experience as a Data Engineer, working with at least one programming language (Python, Scala, Go) plus SQL expertise • 5+ years experience developing data platform infrastructure and ETL/ELT design and implementation, including development best practices in testing, logging, monitoring • Extensive experience implementing CICD practices and infrastructure as code (terraform) as a foundation for developing data platforms from the group up on cloud ecosystems • Background working with distributed big data technologies such as Spark, Presto, Hive, etc. as well as data warehouse technologies including Snowflake, BigQuery, or Redshift • Experience with implementing microservice architectures, event based processing, and streaming pipelines, including expertise with Kafka and Spark Streaming • Extensive data modeling knowledge including in NoSQL, transactional dBs, columnar and row based distributed analytical data environments, as well as prior experience designing and implementing best practice Data Lakes • Knowledge of agile software development and continuous integration / deployment principles