Staff - EY-GDS Consulting-AI and DATA-AWS DBX

1 - 7 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: At EY, you have the opportunity to build a unique career with global support, inclusive culture, and advanced technology to help you become the best version of yourself. Your unique voice and perspective are valued to contribute to making EY even better. Join EY to create an exceptional experience for yourself and contribute to building a better working world for all. Key Responsibilities: - Experience with Kafka, Flume, and AWS tool stack such as Redshift and Kinesis are preferred. - Build on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, QuickSight, etc. - Proficiency in Pyspark/Spark/Scala. - Utilize software version control tools like Git, Jenkins, Apache Subversion. - Possess AWS certifications or other related technical certifications. - Familiarity with cloud or on-premise middleware and enterprise integration technologies. - Ability to write MapReduce and/or Spark jobs. - Strong in architecting data warehouse solutions and integrating technical components. - Excellent analytical skills with proficiency in SQL. - Minimum 1-3 years of experience in a large data warehousing environment. - Effective written and verbal communication skills. - Detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools. - Experience with data modeling concepts, Python, Java development, and Big Data stack environments. - Flexible, proactive, and self-motivated working style with strong problem-solving skills. - Strong team player capable of working cooperatively and collaboratively in a team environment. - Adaptability to new technologies and standards. Qualifications Required: - BE/BTech/MCA/MBA. - Minimum 4+ years hands-on experience in one or more key areas. - Industry experience of minimum 4 - 7 years.,

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EY

Professional Services

London

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