EYP-DnA-Associate Manager - E

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

Job summary

EY is seeking an Associate Manager – Data Engineering in Pune to lead data warehousing initiatives across cloud and on‑prem platforms. You'll design and deploy complex analytics solutions, working with architects, SMEs, and developers to deliver robust data integration and self-serve analytics.

The role emphasizes building scalable data pipelines, model design, and governance to enable trusted decision analytics.

Qualifications

• Bachelor’s degree in Computer Science, Information Management, or related field preferred.
• Experience in data engineering for cloud and on‑prem environments is desirable.

Responsibilities

• Evaluating and selecting data warehousing tools for BI, data population, metadata management and warehouse administration.
• Strong knowledge across ETL/ELT, data analysis, metadata, data quality, audit and design.
• Design, develop, and test ETL workflows using GUI/canvas tools.
• Produce design documentation including data mappings, technical specs and data dictionaries.

Skills

Cloud Computing

Data Warehousing

ETL/ELT

Data Modeling

SQL/Databases

Python/Java

Data Governance

Data Quality

Data Security

Communication

Tools

Spark

Job description

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Associate Manager – Data Engineering

Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors

The opportunity

We are looking for Associate Manager - Data Engineering. The main purpose of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also onshore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting.

Discipline

Information Management & Analysis

Role TypeData Architecture & Engineering

A Data Architect And Engineer at EY:

Uses agreed-upon methods, processes and technologies to design, build and operate scalable on-premises or cloud data architecture and modelling solutions that facilitate data storage, integration, management, validation and security, supporting the entire data asset lifecycle. Designs, builds and operates data integration solutions that optimize data flows by consolidating disparate data from multiple sources into a single solution. Works with other Information Management & Analysis professionals, the program team, management and stakeholders to design and build analytics solutions in a way that will deliver business value.

Skills

Cloud Computing, Computational Thinking and Programming, Technical Feasibility Analysis, Data Architecture Design and Modelling, Data Fabric, Data Integration, Data Quality, Data Security, Database Management, Semantic LayerClient Handling & Communication, Problem solving / critical thinking, Systems Thinking, Interest and passion for Technology, Adaptability/Agility, Analytical Thinking, Collaboration

Your Key Responsibilities

• Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements
• Strong working knowledge across the technology stack, including ETL, ELT, data analysis, metadata, data quality, audit and design
• Design, develop, and test in ETL tool environment (GUI/canvas steered tools to create workflows)
• Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.)
• Provides technical guidance to a team of data warehouse and business intelligence developers
• Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security
• Adhere to ETL/Data Warehouse development Best Practices
• Responsible for Data