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For Permanent and Contract in Irvine

    Ref: 03348299897_1649836314

    Sr. Data Engineers @ AWS ISV SaaS Partner in US/Canada

    USA, California, Irvine

    • Negotiable
    • Engineer Role
    • Seniority: Senior

    Job description

    Sr. Data Engineers @ AWS ISV SaaS Partner - Remote (US or Canada - Remote)

    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 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.