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Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before, and EY's Tax Technology team is looking to develop, implement and integrate technology solutions to better serve clients and engagement teams.

Requirements

• 5+ years of progressive experience in data engineering, data modeling, and building data and analytics products
• 5+ years of experience with SQL, ETL/ELT development, and data warehousing concepts
• 5+ years of Experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions (i.e, Databricks, Snowflake, Azure Data Factory)
• Demonstrated experience in Airflow, Luigi or similar orchestration engines
• 5+ years of experience working with public cloud platforms (Azure, AWS, or GCP)
• Proficiency in building data pipelines using Python, PySpark, or Scala
• Experience with orchestration tools such as Airflow or Luigi

Responsibilities

• Lead the process of building and designing the data models that derived from multiple sources i.e., Manipulating data, flat flies, and raw information into cohesive data sets for our clients to easily use and incorporating the results into actionable insights
• Interface with other teams to extract, load and transform data from wide variety of data sources using cloud-native data engineering principles
• Partner with Data Scientist and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the team
• Provide thought leadership and collaborate with other team members to continue to scale client architecture to evolve for the needs of tomorrow. Contribute to the establishment of best practices including code standard, version control, documentation testing and review process
• Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Serve as a subject matter expert in data engineering technologies and architectural design

Other

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• Proven ability to navigate complex issues and make informed decisions
• Experience in supervising and guiding junior team members
• Demonstrated participation in sales opportunities and RFP responses
• Leadership experience with a focus on team development and mentorship