Lead Data Engineer - BigData, Python, AWS, SQL
Job Description
Role: Lead Data Engineer - BigData, Python, AWS, SQL
Duration: 12 Months
Location: Beaverton, OR (On-Site Preferred)
Key Skills: Data Engineering, Big Data/Hadoop, Spark, SQL, Python, NoSQL, RESTful, AWS, Snowflake, Airflow, Data Lake
- Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience
- 7+ years relevant work experience in the Data Engineering field
- 4+ years proven experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
- 2+ years experience building scalable, real-time and high-performance cloud data lake solutions
- Strong experience with relational SQL and programming languages such as Python, Scala, or Java
- Experience with source control tools such as GitHub and related CI/CD processes
- Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
- Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
- Experience provisioning RESTful API's to enable real-time data consumption
- Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc
- Experience with data warehouses/RDBMS like Snowflake & Teradata
- Experience with workflow scheduling tools like Airflow
- Strong understanding of algorithms, data structures, data architecture, and technical designs.
- Proven ability to influence and communicate effectively with team members and business partners
- Proven track record to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
Date Posted
05/27/2023
Views
13
Positive
Subjectivity Score: 0.8
Similar Jobs
Senior Manager, Communications Business Partner, Technology - Autodesk
Views in the last 30 days - 0
View DetailsField Service Representative - Drives/Industry - Schneider Electric
Views in the last 30 days - 0
View Details