Data Engineer IV
eTeam
Job Title: Data Engineer IV
Location: Beaverton, OR
Duration: 10 months
Hybrid: Mon - Thurs onsite, Fri remote Job Role:
Location: Beaverton, OR
Duration: 10 months
Hybrid: Mon - Thurs onsite, Fri remote Job Role:
- On-site role at PHK; typical work hours, 4/1 hybrid schedule
- Degree will be required for this role
- AWS, Databricks certifications nice to have, not required
- 8-10 years' experience minimum preferred in a data-related role
- Prior Client experience required
- Databricks
- Spark
- Python
- Snowflake
- SQL
- Experience with AI tools and initiatives
- Excellent communication skills
- Skills that would make a candidate stand out:
- Experience with/knowledge of finance domain
- Experience with data analytics and BI tools
- supporting gaps in the team, building capabilities, tools, and new data products, and improving profitability and margins
- Urgent need - HM will prioritize those who can start ASAP
- 2 rounds of interviews anticipated
- Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
- Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
- Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
- Translate product backlog items into logical units of work in engineering
- Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
- Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
- Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
- Build and incorporate automated unit tests and participate in integration testing efforts
- Utilize and advance continuous integration and deployment frameworks
- Troubleshoot data issues and perform root cause analysis
- Work across teams to resolve operational & performance issues
- Bachelor's degree in Computer Science, or related technical discipline
- 10 years of experience in large-scale software development, 5 years of big data experience
- Programming experience, Python or Scala preferred.
- Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
- Experience with messaging/streaming/complex event processing tooling and frameworks
- Experience with data warehousing concepts, SQL and SQL Analytical functions
- Experience with workflow orchestration tools like Apache Airflow
- Experience with source code control tools like Github or Bitbucket
- Ability to communicate effectively, both verbally and written, with team members
- Interest in and ability to quickly pick up new languages, technologies, and frameworks
- Experience in Agile/Scrum application development
- Experience with Java
- Experience working in a public cloud environment, particularly AWS, databricks
- Experience with cloud warehouse tools like Snowflake
- Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
- Experience building RESTful API's to enable data consumption
- Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
- Experience with practices like Continuous Development, Continuous Integration and Automated Testing
- Desire to work collaboratively with your teammates to come up with the best solution to a problem
- Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
- Excellent problem-solving and interpersonal communication skills
- Strong desire to learn and share knowledge with others
Vacancy posted 3 days ago
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