Sr. Data Engineer
Job Description
Duration: 6 Months
Location: Hillsboro, OR (100% Remote)
Key Skills: Data Lake, AWS, EMR, S3, Hive, Spark, Snowflake, Apache, Nifi
Top 3 Skills: Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark Experience with cloud warehouse tools like Snowflake Experience with messaging/streaming/complex event processing tooling and frameworks with an emphasis on Spark Streaming or Structured Streaming and Apache Nifi Job
Qualifications
- Masters' or Bachelors' degree in Computer Science or a related field
- 6+ years of experience in data engineering development
- 4+ years of experience implementing scalable data architectures
- 3+ years of experience in large-scale software development with emphasis on data analytics and high-volume data processing
- 3+ years of experience with AWS and related services (e.g., EC2, S3, DynamoDB, ElasticSearch (DSL Queries ) ,Kinesis Streams, SQS, SNS, Lambda, AppSync )
- Expert Experience in python is a hard requirement. Experience in other data-centric programming languages is a plus.
- 5+ years of experience in database development using relational and non-relational database is preferred. SQL experience is preferred.
- Experience with CI/CD tools like Jenkins / Terraform as IAAS ( infrastructure as a service )
- Experience with Docker. Deploying containerized solutions in AWS ( ECS / EKS )
Job Description:
- Provide engineering on modern, cloud-based data processing technology stack
- Build data pipelines, data validation frameworks, job schedules with emphasis on automation and scale
- Contribute to overall architecture, framework, and design patterns to store and process high data volumes
- Ensure product and technical features are delivered to spec and on-time
- Design and implement features in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology
- Proactively support product health by building solutions that are automated, scalable, and sustainable - be relentlessly focused on minimizing defects and technical debt
- Should be a good communicator, excellent team player, able to collaborate with remote team members over zoom, demonstrating great flexibility
Date Posted
08/14/2022
Views
7
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