Job Details

ID #40343025
State California
City Irvine
Job type Permanent
Salary USD $150000 - $200000 per annum 150000 - 200000 per annum
Source Jefferson Frank
Showed 2022-05-06
Date 2022-05-05
Deadline 2022-07-04
Category Et cetera
Create resume

Sr. Data Engineers @ AWS ISV SaaS Partner in Canada

California, Irvine, 92602 Irvine USA

Vacancy expired!

One of our best clients is looking for Data Engineers at various Senior, mid-level positions looking for you to join their growing team. These are expected to be fully-remote, full-time positions and brand new position with a Series-C funded AI/ML focused SaaS company that's rapidly growing and looking for the best and brightest.

Job Requirements, Experience Required:

  • Experience with

    Kafka, Spark real-time streaming pipeline development and maintenance experience.
  • Expert level experience with programming languages

    Java/Kotlin

    Required
  • Minimum 4 years of experience in building and optimizing 'Big Data' data pipelines, architectures and data sets.
  • Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
  • Experience with Cloud services such as AWS EC2, EMR, EKS etc is a plus.
  • Experience with working in Docker and Kubernetes is a plus.
  • Experience building, architecting, and optimizing 'big data' data pipelines leveraging a mix of Java, Scala, Python, Glue, Sagemaker, EMR, Lambda, Step Function, Cloud formation / Terraform
  • Well versed in Designing ELT/ETL Frameworks focused at Apache Spark Streaming and Batch
  • Experience manipulating, processing, and extracting value from large, disconnected datasets using ETL/ELT methodology and technologies such as Deltalake, Databricks, Matillion etc and integrating data from silos to a Master Data source
  • Well versed in writing spark transformation jobs to handle complex nested json data formats and joining streaming data with parquet files in Datalake.
  • Good knowledge in administration of Datalake using Lake Formation and roles.
  • Support production workloads (on S3, Spark, Kinesis, Kafka etc) and build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience building data products incrementally and integrating and managing datasets from multiple sources
  • 3 - 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Company, Employee Benefits:

  • Working with a well-established, highly-valued company with a world-class team of senior developers and software professionals to act as mentors as you develop.
  • Working with an array of interesting products to own and an entrepreneurial environment to thrive in.
  • Exposure to a wide variety of modern web technologies.
  • 401K Match & Annual Contribution
  • Excellent Employee/Family Benefits (Medical, Dental, Health)
  • Unlimited PTO
  • Remote work capacity
  • Flexible Salary Compensation depending on position/experience.
If you or someone you know is interested in this position, please send your resume directly to

a.christophel

@jeffersonfrank.com or call

Jefferson Frank is the global leader for Amazon Web Services recruitment, advertising more AWS roles than any other agency. We deal with both AWS Partners & End Users throughout North America. By specializing solely in placing candidates in the AWS market we have built relationships with most of the key employers in North America and have a complete understanding of where the best opportunities and AWS jobs are.

Jefferson Frank is acting as an Employment Agency in relation to this vacancy.

Vacancy expired!

Subscribe Report job