Sr. Data Engineer -Big Data, Python, AWS

Role: Sr. Data Engineer -Big Data, Python, AWS

Duration: 4 Months

Location: Beaverton, OR (100% Remote)

Key Skills: Big Data, Python, Spark, Databricks, Hadoop, Apache Airflow, Hive & AWS, CI/CD, DynamoDB

Sr Data Engineer

In this role, you will build and delivering scalable data and analytics solutions in Supply Chain- Global Operations and Logistics and Commercial space

Job Duties

• Perform analysis, design, development, and configuration functions as well as define technical requirements for intermediate to complex data pipelines.
• Participate with a team to perform analysis, assessment and resolution for defects and incidents
• Work within guidelines set by the team to independently tackle well-scoped problems.
• participate in architecture and design discussions to deliver on business commitments while delivering operational and engineering excellence.
• Participates in quality assurance, testing, Observability, and dev ops practices
• Seek opportunities to expand technical knowledge and capabilities.

Skills *

Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.

• 5+years of Software/Data engineering experience
• 4+years of building and maintaining Data Pipelines
• Strong demonstrable skills in two of the following programming languages- Python, Scala or Java.
• Strong Experience in processing Big Data and analyzing the data using Python, Spark, Databricks, Hadoop, Apache Airflow, Hive & AWS.
• Strong Experience with AWS services like EMR, S3, DynamoDb
• Should have experience in micro services.
• Experienced in unit, functional and automated testing.
• Experienced in CI/CD process - GIT Jenkins
• Well-versed with Agile methodology.
• Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams.
• Comfortable working in a fast-paced, results-oriented environment