EY - GDS Consulting - AI AND DATA  - AWS - Senior Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Profile Summary:

Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew.

Skills:

• Expert level in Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker, Pyspark, SQL

Qualifications:

• Minimum of Ten years in data engineering , Data analytics , programming, database administration, or data management experience.
• Graduate degree ( Bachelors Degree , BCA or Masters ) or equivalent combination of training and experience.
• Communication & Team Collaboration
• Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
• Be highly flexible & adaptable
• Accountability , E2E ownership & Product Mindset

Job Description:

• Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.
• Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions.
• Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
• Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client.
• Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.
• Expert building AWS cloud architecture and supporting services and technologies (Eg: Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
• Expert in building Spark data processing applications (Python, Pyspark).
• Expert with Apache airflow, iceberg and streamlit.
• Expert with SQL development and Tableau Reporting.
• Experience building Splunk dashboards.
• Experience with test automation and test-driven development practices.
• Experience with CI/CD pipeline tools like Bamboo, Bitbucket , Git hub and Terraform scripts / CFS .
• Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
• Participates in special projects & initiatives .

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