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Senior Data Engineer | Avro / Parquet
RecruiterDNA | DevOpsDNA
- Portland, OR
Design and implement product features in collaboration with product owners, report developers, product analysts, and business partners within an Agile / Scrum methodology
Provide engineering on modern data processing technology stack including Spark, EMR, Airflow, Python and Snowflake within AWS
Contribute to overall architecture, framework, and design patterns to store and process high data volumes
Support the culture of team empowerment and engagement through successful self-management. Own your workload and contributions to the team
Proactively support product health by building solutions that are automated, scalable, and sustainable— be relentlessly focused on minimizing defects and technical debt
Build continuous integration and test-driven development environment
Mentor and guide other software engineers within the team including review code and provide feedback relative to best practices and improving performance
Bachelor's degree in Computer Science, Information Systems or other relevant subject area
2 years' additional relevant experience in lieu of a degree
5+ years of experience with large-scale data engineering with emphasis on data analytics and reporting
Strong experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)— expert-level SQL abilities
3+ years of experience developing in the Hadoop ecosystem, leveraging tools such as Pig, Hive, Sqoop, Spark and others
Good understanding of file formats including JSON, Parquet, and Avro
Experience developing solutions in Snowflake
Experience developing with the AWS EMR managed service
Experience developing with scripting languages such as Shell and Python
Experience with agile delivery methodologies in a fast-paced complex environment – Scrum, SAFe, Extreme Programming
Strong ability to multi-task and balance multiple priorities in a fast-paced environment
Saturday, April 14, 2018
Amazon Elastic MapReduce
Las Vegas, NV
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