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• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 6th Jan 2021

Position: Big Data- Cloud Data Architect (100% REMOTE)

Location: Chicago, IL

Duration: 12 Months

GC or Citizens only

Overview

We are looking for a strong Hadoop data engineering talent to be a part of the data integration team for the company. We are building a new application integration platform which will allow bi-directional real time integration between SAP, MDM and Salesforce and also bringing new data into current Enterprise Data Lake. Role offers opportunity to be key part of a challenging, fast-paced environment and build ground-up core data integration offerings and shape the technology roadmap in our high-growth, knowledge-driven team.

Role Description

·       Designs and develops multiple, diversified applications using big data platform leveraging hybrid clouds.  These applications are primarily consumed for parsing, analyzing, discovering, and visualizing the potential business insights. 

·       Works with critical data stake holders and technical teams for optimal solutions and service delivery.  Provides strategic, tactical direction in the delivery of big data solutions

·       Works with various cross functional teams such as infrastructure, data and enterprise architects to build scalable, optimal, self-service analytics solutions, both on premise and in the cloud.

·       Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.

Qualifications

·       Bachelor’s degree in Computer Science, Mathematics, or Engineering 

·       7+ years of experience in Data and Analytics and Data Integrations

·       5+ years of experience in big data stack and solutions, including cloud technologies

·       5+ years of designing, implementing and successfully operationalizing large-scale data lakes solutions in production environments using Big data Stack (On-prem and Azure)

·       3+ years of experience in architecting and implementing end to end Azure cloud big data solutions.

·       3+ years of experience implementing Real-time Solutions & data integrations

·       Hands on experience with building, optimizing the data pipe – CI/CD, integrated - build and deployment automation, configuration management, test automation solutions.

·       Professional training and certifications in various big data solutions (Preferred).

·       Solid understanding of Azure Cloud Stack including ADF Data flows, Event Hub, Databricks, HDInsight, Azure DevOps

·       Deep hands on experience with Hadoop, HIVE, HBase, Spark, Kafka, Snowflake, Python, R, SQL, Java, Scala, Zeppelin, RStudio, Spark RDDs and Data Frames, Ambari, Ranger, Kerberos, Atlas and Collibra etc.

·       Communication and presentation skills, to articulate functionality, issues and risks with business communities