This requirement is only for H1B / GC / US Citizens / GC EAD / H4 EAD / L2 EAD - NO OPT EAD Job Title Data Scientist | Azure ML Location Chicago, Illinois Duration 6+ Months Job Description NEED - Data Scientist | Azure ML Must have skills for this project: * Azure Machine Learning * Azure Data Factory * Azure Data bricks * Python * PySpark * Snowflake * Work Location with Zip code? - Chicago, IL 60601 * What is the timeline for the Interview panelist to complete the interview process? - 5 PM to 9 PM IST * What is your timeline to deliver the resource to the end-client? - within 1 week * Start date of the project - May 1st ,2020 * Does this role require any travel - May be * Is there a possibility of some remote work due to COVID19 situation - Yes * Are you OK with Visa dependent candidates? - Yes * Would you require the candidates to meet you for in-person interview? - No * Is Skype/WebEx interview OK? - OK * Minimum years of experience required - 8-12+ years * Rate: C2C or W2 all-inclusive Education Qualification: - BTECH Must Have: * 8 years of Rich and hands on experience with handling of large amount of big data using AI/ML Capability with deep learning, Azure ML skills, Python/PySpark/Data Bricks, Cognitive about Data Science and Data Engineering Developments, Azure Cloud architecture, Apache Spark and Hadoop Ecosystems, designing. * At least 6 years of Hands on Experience in Microsoft Azure Cloud DW with Databricks, AI/ML, Azure ML, Snowflake experience. * Hands-on experience on Tableau development. * Hands-on experience in migration of on-premise to Azure cloud. * Spark, SparkSQL, PySpark, Python, HDFS, Hive, Impala, Oozie, Scala. * Building complex models using PySpark and guiding business users on modelling. * Working knowledge and good experience in Unix environment and capable of Unix Shell scripts (ksh, bash). * Ability to work within deadlines and effectively prioritize and execute on tasks. * Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels. * Handling big team of onsite and offshore model. * Drive automations. Nice to have: * Basic Azure and Snowflake administration knowledge. * DevOps Knowledge is an added advantage. * Proficient knowledge of SQL with any RDBMS. * Knowledge of Oracle databases and PL/SQL. * Tableau knowledge Thanks, Tabitha Monisha Rayi Office: 310-818-4424 Ext:157 E-Mail: tabitha@us.vedainfo.com www.vedainfo.com Certified Women Owned Minority Business Enterprise {WMBE} 3868 Carson Street, Suite 204, Torrance, CA 90503 | Offices: USA, India, Australia, UK and New Zealand
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