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Data Engineer/Big Data Developer @ Houston, TX

Title:  Data Engineer/Big Data Developer
·        Location: Houston, TX
·        Type: Long Term

Immediate Interview and Immediate start.

Responsibilities:

Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, Azure, or GCP frameworks and services · Work with development teams to provide feedback surrounding data-related technical issues and provide the needed scalable data infrastructure for projects · Ability to advise on the design of technical solutions as well as assist with implementation steps · Continually improve existing solutions and develop documentation  

Qualifications:

·        3+ years of professional experience with database and ETL development, including data processing workflows (Kafka, Mapr Streams. Spark Streaming, Apache Beam, Streamsets)
·        2+ years of professional experience with major GCP data platform components (BigQuery, BigTable, DataFlow, DataProc, DataLab, DataStudio, DataPrep, CMLE) or similar cloud technologies
·        3+ years of development and implementation of enterprise-level data solutions utilizing Java and Python (Scikit-learn, Scipy, Pandas, Numpy, Tensorflow)
·        1+ year deploying container based workloads preferably in Kubernetes
·        Proven collaboration with data scientists and data stewards to uncover detailed business requirements related to data engineering
·        Proficient in Linux OS command line tools and bash scripting
·        NoSQL experience (such as HBase, Cassandra or similar) with time series data
·        Experienced in Agile development methodologies
·        Track record of automating manual processes
·        Google Data Engineer certification preferred
·        Excellent communication and presentation skills  

Thanks
vandana
vandana@levanture.com

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