Note: The job is a remote job and is open to candidates in USA. EY is a globally connected powerhouse that aims to shape your future with confidence. They are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks, to design and build analytics solutions that deliver significant business value.
Responsibilities
- Designing, building, and operating scalable on-premises or cloud data architecture
- Analyzing business requirements and translating them into technical specifications
- Optimizing data flows for target data platform designs
- Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP)
- Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives
- Lead end-to-end data pipeline development, including data ingestion, transformation, and storage
- Ensure data quality, integrity, and security throughout the data lifecycle
- Provide technical guidance and mentorship to junior data engineers and team members
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement
- Stay updated with the latest trends and technologies in data engineering and cloud computing
Skills
- A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree)
- Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions
- 5+ years of experience in data engineering, with a focus on cloud data solutions
- Expertise in Databricks and experience with Spark for big data processing
- Proven experience in at least two end-to-end data engineering implementations, including: Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence
- Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making
- Strong programming skills in languages such as Python, Scala, or SQL
- Experience with data modeling, ETL processes, and data warehousing concepts
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication and interpersonal skills, with a focus on client management
- Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives
- Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients
- Master's degree preferred
- Experience with data quality management
- Familiarity with semantic layers in data architecture
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
- Knowledge of data governance and compliance standards
- Experience with machine learning frameworks and tools
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Hybrid model with expectation to work in person 40-60% of the time over the course of an engagement, project or year
- Flexible vacation policy allowing you to decide how much vacation time you need based on your own personal circumstances
- Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being
- Reasonable accommodation to qualified individuals with disabilities including veterans with disabilities
Company Overview
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