Description

　　Kforce has a client that is seeking a Senior Cloud Data Engineer out of Westlake Village, CA (1-3 days onsite required). Summary:This role is a highly visible and value driven individual contributor role, providing data infrastructural help for fellow analysts and data scientists as well as operationalizing ML models at scale integrated to customer facing applications. The Senior Cloud Data Engineer will be hands-on developing Deep learning models, Holtz Winters anomaly detection models, Classification and Regression models as well as operationalizing them as unsupervised continuous learning models. Model outcomes will be pushed into Timeseries data stores like Apache Pinot for quick rendering and REST API end points. Responsibilities:

　　Design and build reliable, scalable data infrastructure with leading privacy and security echniques to safeguard data using AWS technologies Design and Build scalable, secure, low latency, resilient and cost-effective solutions for enabling predictive and prescriptive analytics across the organization Design/ Architect frameworks to Operationalize ML models through serverless architecture and support unsupervised continuous training models Take over and scale our data models (Tableau, Dynamo DB, Kibana) Experience in shipping low-latency massive scale systems to production Communicate data-backed findings to a diverse constituency of internal and external stakeholders Build frameworks for data ingestion pipeline both real time and batch using best practices in data modeling, ETL/ELT processes and hand off to data engineers Participate in technical decisions and collaborate with talented peers Review code, implementations and give meaningful feedback that helps others build better solutions

　　Requirements

　　AWS Certified Big Data - Specialty desirable 5+ years of experience working directly with enterprise data solutions Experience working in a public cloud environment and on-prem infrastructure Specialty on Columnar Databases like Redshift Spectrum, Time Series data stores like Apache Pinot and the AWS cloud infrastructure Experience with in-memory, serverless, streaming technologies and orchestration tools such as Docker, Spark, Kafka, Airflow, Kubernetes is needed Excellent SQL skills and Python coding is a must Implementation experience required, possessing 5or more years of IT platform implementation experience Experience designing and implementing AWS big data and analytics solutions in large digital and retail environments is desirable SQL savvy, self-sufficient in handling large volumes of data as well as excellent data visualization capabilities using Tableau or like solutions Experience in online transactional (OLTP) processing and analytical processing (OLAP) databases, data lakes, and schemas Experience with AWS Cloud Data Lake Technologies and operational experience of Kinesis/Kafka, S3, Glue and Athena Experience with any of the message/file formats: Parquet, Avro, ORC Design and development experience on subscribing to a Streaming Service, EMS, MQ, Java, XSD, File Adapter, and ESB based applications Experience in distributed architectures such as Microservices, SOA, RESTful APIs and data integration architectures is a plus Experience migrating On-Prem Data solutions to cloud Experience managing On-prem Enterprise Data Warehouse solutions like Netezza is a plus Experience with a wide variety of modern data processing technologies, including Big Data Stack (Spark, spectrum, Flume, Kafka, Kinesis etc.) Data streaming (Kafka, SQS/SNS queuing, etc.) Expert in Columnar databases primarily, Redshift or like technologies lile Snowflake, Firebolt

　　The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

　　We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

　　Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

　　This job is not eligible for bonuses, incentives or commissions.

　　Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.