EY Data Engineer - Industrials & Energy Sector 

United States, Ohio, Akron 

916541126

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 source to serve business users and data visualization needs

• Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases

• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners

• Strong problem solving and troubleshooting skills

• Ability to work in a fast-paced environment and adapt to changing business priorities

Ideally, you’ll also have

• Experience in leading and influencing teams, with a focus on mentorship and professional development

• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges

• The ability to foster an inclusive environment that values diverse perspectives and empowers team members

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.