Ref: 033482880_1652054396

Sr. Data Engineer @ AWS ISV, SaaS Partner - Remote

USA, California

Job description

Sr. Data Engineer @ AWS ISV, SaaS Partner - Remote

033482880_1652054396

Senior Data Engineers @ AWS ISV, SaaS Partner - Remote (US or Canada - Remote)

One of our best clients is looking to hire an experienced AWS Big Data Engineer to join their growing data engineering team and this is expected to be full-time, fully-remote or hybrid work-life. This is a 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, or Apache real-time streaming - required
* Expert level experience with programming languages Java/Scala/Kotlin etc.
* 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
* 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 r.kane@jeffersonfrank.com or call 480-530-2031.

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.