Hiring 2 immediate positions with one of our client Please share me updated resume of your consultant ASAP

Hi Business Partner,   Hope you are doing great!!!   We have 2 immediate positions with one of our client. If your consultant is available and interested, please send me updated resume ASAP.   Position:  Integration Consultant / Big Data Developer Location: Oklahoma City, OK Duration: Long Term (Initial 4 weeks and then Long Term)   For initial 4 weeks contract expenses will be paid.   Customer is migrating all data and analytics workloads to cloud services providers (Azure and AWS) and will be using a number of integrated, complementary, and supporting technologies such as Confluent Kafka, Databricks Spark, Snowflake Cloud Data Warehouse (and Snowpipe), HVR. Area of Focus Hands-on execution of development and migration of Informatica and SIS pipelines leveraging Snowpipe and Databricks/Spark/Scala into Snowflake   Key Technologies that will be a focus for the team are categorized below: 1. Cloud Azure (for continued work in 2019), AWS 2. Data Hub Cloudera (for continued work in 2019), Impala, Snowflake (will add workloads including CDH migration), Snowpipe 3. Data Engineering Databricks Spark and Apache Spark (CDH), Scala, Confluent Kafka, Apache Kafka (CDH) 4. Data Flow & Data Movement Streamsets, IoT Hub 5. Data Science Cloudera Data Science Workbench (for continued work in 2019), R (majority of data science work today), Python, Databricks, AWS SageMaker 6. Storage HDFS (Cloudera), AWS S3, Azure Blob, ADLS 7. Security Octa, Azure AD, Likewise 8. Visualization Spotfire, Arcadia Data, PowerBI     Position: Data Engineer/Big Data Developer Location: Houston, TX Duration: Long Term   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, Reshmi Pendurthi.

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