Senior Associate, Data Engineer – Databricks, AI, Technology Consulting

🕒 January 22

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EY

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Ability to design data pipelines with scalability, high performance and resilience in-built • Ability to code complex requirements as part of large complex data platforms - develop, refine, and implement high quality delivery executions • Deliver project deployments on public clouds and highly secure environments • Integrate with data governance tools, ecosystem products across the cloud landscape • Ability to understand the business requirements and translate into high-level and low-level designs to successfully meets the business objectives. • Collaborate with stakeholders, presenting findings to a non-technical audience • Bring in best practices for coding and building modular data engineering code that can be reused • Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies. Including AI integrations.

🎯 Requirements

• Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field • Databricks certifications, Azure certifications on data engineering • At least 4 years of experience on various data platform solutions across data and analytics across the entire SDLC • Atleast 2 years’ experience on designing and mapping requirements to technical capabilities of data pipelines on databricks across Azure, AWS or GCP cloud • Proficiency in programming leveraging Python, Spark, Scala and other programming languages • Understanding of end-to-end data analytics domain and insights delivery • Excellent understanding of data modelling techniques and leading trends on data platforms including AI • Possess strong problem-solving, analytical and strategic thinking abilities • GCC experience will be an added advantage • Proficiency with agile boards like JIRA, Atlassian products.

🏖️ Benefits

• 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.

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