- SQL: 2 years (Required)
- Cloud infrastructure: 2 years (Required)
- US work authorization (Required)
- Data Engineer - 2 years
- Remote/Virtual - All candidates must live in California
- Manage, refine, and enhance AWS cloud services infrastructure which include the following:
EC2, VPC, RDS, ECS, CloudWatch, CloudFormation, CloudTrail - Transfer for sFTP, S3, Lambda, Secrets Manager, and Route 53
Lead ETL/ELT processes which include the development, refinement, and implementation of data loading and processing tools, including Snowflake, Airflow, Python, SQL, dbt, and shell scripts - Review, redesign, and expand existing analytics and data processing architecture to create an optimal data pipeline(s)
Identify, design, and implement internal process improvements:- automating manual processes, optimizing data delivery, designing infrastructure for greater scalability and automation
- Maintain and update documentation of data architecture from both the macro view (i.e. architectural diagrams) and the micro view (i.e. script level tasks in Airflow)
- Lead meetings, research processes, collect data, analyze information
- Collaborate with the key stakeholders of your projects
- Develop and maintain expert knowledge of our platform and organization
- Continuously improve data pipelines and architecture by staying updated on industry trends and best practices.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Advanced proficiency with cloud analytical tools: Snowflake, Redshift, Hadoop, Spark, Kafka, etc.
- Advanced proficiency with ETL tools like Matillion, dbt, Talend, etc.
- Advanced proficiency with data pipeline and workflow management tools: Airflow, Azkaban, Luigi, etc.
- Advanced proficiency building and optimizing data pipelines, cloud architectures, and data sets.
- Advanced proficiency with scripting languages like Python, R, Scala, etc.
- Advanced proficiency developing cloud infrastructure in AWS or currently has or is in the process of obtaining AWS
- Certification as a Solutions Architect - Associate
- Expert SQL knowledge (SQL Server, PostgreSQL, MySQL, etc.) and understanding of relational databases, query authoring and optimization, as well as working familiarity with a variety of databases.
- A successful history of manipulating, processing and extracting value from large structured and unstructured datasets.
- Strong decision-making skills and collaborative spirit with the ability to take abstract brainstorming and generate concrete proposals for action
- Advance projects without detailed supervision, balancing multiple responsibilities, and providing colleagues with actionable proposals for advancing collective efforts
- Thrive in a fast-paced environment with changing priorities and deadlines
- Juggle multiple projects of various scopes with ease and grace
- Meticulous attention to detail
- Excellent verbal communication skills; ability to communicate with various levels of professionals.
- Strong organizational, project, and time management skills
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