Job Description & How to Apply Below
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Assistant 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 Assistant 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.
A Data Architect & 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, Programming, Data Architecture Design and Modelling, Technical Feasibility Analysis, Data Fabric, Data Integration, Data Quality, Database Management, Semantic Layer
Client Handling & Communication, Problem solving / critical 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 orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud ( MS Azure/AWS/GCP)
Assisting the team with performance tuning for ETL and database processes
Skills and attributes for success
Minimum of 7 years of total experience with 3+ years in Data warehousing/ Business Intelligence field
Solid hands-on 3+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse
Strong knowledge of data architecture for staging…
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