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• *US Consulting - AI & Data - Data Engineer, Industrials & Energy Sector – Senior**
• *The opportunity**
EY is seeking for Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs.
• *Your key responsibilities**
+ Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals
+ Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
+ Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment
+ Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data
+ Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
+ Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes
+ Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity
+ Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
+ Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
+ Solve complex data problems to deliver insights that help achieve business objectives
+ Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics
• *Skills and attributes for success**
+ Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives
+ Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling
+ Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
+ Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
+ Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
+ Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• *To qualify for the role you must have**
+ Bachelor’s degree in Engineering, Computer Science, Data Science, or related field
+ 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development
+ Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines
+ Proven track record of designing and implementing complex data solutions
+ Demonstrated understanding and experience using:
+ Data Engineering Programming Languages (i.e., Python)
+ Distributed Data Technologies (e.g., Pyspark)
+ Cloud platform deployment and tools (e.g., Kubernetes)
+ Relational SQL databases
+ DevOps and continuous integration
+ AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
+ Databricks/ETL
+ IICS/DMS
+ GitHub
+ Event Bridge, Tidal
+ Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions
+ Understanding of database architecture and administration
+ Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals
+ Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent
Location: Los Angeles, CA
Posted: Nov. 6, 2024, 10:08 p.m.
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