EY-GDS Consulting-AI And DATA-AWS-Senior

EY; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading consulting firm in Gurugram is seeking a Senior role specializing in AI and data solutions. Candidates will develop and optimize data pipelines using AWS tools and ensure data integrity and security. This position requires a graduate degree and at least three years of experience in data engineering or analytics. Excellent communication skills and a proactive approach are essential. This role offers a full-time employment package within a diverse and inclusive workplace.

Qualifications

• Minimum of three years in data engineering or analytics.
• Strong verbal and written communication skills required.
• Experience in building Spark data processing applications.

Responsibilities

• Writes ETL processes and designs database systems.
• Troubleshoots software for data consistency and integrity.
• Partners with internal clients to understand business functions.
• Participates in all phases of solution development.

Skills

Glue

EMR

Redshift

Step Functions

Cloud Watch

Cloud formation

Lambda

Secrets Manager

Sagemaker

Pyspark

SQL

Education

Graduate degree (Bachelors Degree, BCA or Masters)

Tools

Apache Airflow

Tableau Reporting

GitHub

Bamboo

Terraform

Job description

EY-GDS Consulting-AI And DATA-AWS-Senior

Join to apply for the EY-GDS Consulting-AI And DATA-AWS-Senior role at EY

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 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. Builds a deep dive analytical skillset by working with higher level Data Engineers on a variety of internal and external data.

Skills

Intermediate Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker, Pyspark, SQL

Qualifications

• Minimum of three years in data engineering (3 to 6 years), Data analytics, programming, database administration, or data management experience.
• Graduate degree (Bachelors Degree, BCA or Masters) or equivalent combination of training and experience.

Communication and Team Collaboration

• Strong verbal and written communication.
• Be highly flexible.
• Accountability & E2E ownership.

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 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 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 a basic understanding of business functions and informational needs. Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Participates in all phases of solution development. Explains technical considerations at related meetings, including those with business clients.
• Experience building specified 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).
• Experience building Spark data processing applications (Python, Pyspark).
• Experience with Apache airflow ( + iceberg preferred ).
• Experience with SQL development and Tableau Reporting ( Preferred ).
• Experience leveraging / building Splunk dashboards.
• Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Git hub and Terraform scripts / CFS.
• Tests code thoroughly for accuracy of intended purpose & Regression testing. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
• Provides tool and data support to business users and fellow team members.
• Good to have: Experience with test automation and test-driven development practice.

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Consulting, Information Technology, and Sales

Industries

Professional Services

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