People Consulting-Analytics-Senior
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
At EY were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
The opportunity
We are seeking a Senior Data Engineer with strong Python expertise to join our team. The core purpose is to design build and maintain the data infrastructure and pipelines that support the organizations business intelligence and analytics.
Your key responsibilities
- Designing and implementing data pipelines that reliably process large volumes of data
- Managing and optimizing data infrastructure and systems
- Ensuring data quality security and compliance
- Collaborating with stakeholders to understand data requirements
- Troubleshooting and maintaining production systems
Skills and attributes for success
- Technical Foundation: Need strong programming skills particularly in Python with hands-on experience building real systems in production environments. Should be comfortable working with modern data platforms like Databricks and be proficient in tools that orchestrate data workflows.
- Data Infrastructure Knowledge: Understanding how data flows through systems are essential. This includes knowledge of databases data warehouses data lakes architecturesessentially knowing different ways to store and organize data at scale.
- Cloud Proficiency: You need practical experience with major cloud providers (AWS Azure or GCP) and their data services as modern data engineering happens almost exclusively in the cloud.
- Problem-Solving Mindset: The role requires analytical thinking to design efficient solutions and troubleshoot issues when systems fail or perform poorly.
To qualify for the role you must have
- Python expertise: 5 years of hands-on work in production environments. You should be able to write clean efficient code at scale.
- Python data libraries: Proficiency with Pandas NumPy SQL Alchemy and PySpark for data manipulation and processing.
- Workflow orchestration: Experience with tools like Apache Airflow Prefect or Luigi that automate and schedule data jobs.
- SQL and Databases: Solid SQL skills and familiarity with both relational databases (PostgreSQL MySQL) and NoSQL databases (MongoDB Cassandra).
- Cloud platforms: Working knowledge of AWS Azure or GCP data services.
- Data Lake and Lakehouse concepts: Understanding how to structure and manage large-scale data storage systems.
- Git: Version control expertise for code management and collaboration.
Ideally youll also have
- Education: A bachelors or masters degree in computer science engineering or a related field
- Advanced Databricks Skills: Knowledge of Databricks ML flow for machine learning pipelines Databricks SQL and BI tool integrations. This shows you can work across the analytics and machine learning spectrum
- Open-source Contributions: Active contributions to open-source Python projects. This demonstrates engagement with the tech community and software engineering best practices.
- Data Science Knowledge: Understanding of data science concepts and machine learning workflows which shows breadth beyond just engineering.
What we look for
EY People Consulting is likely seeking someone who:
- Has a proven track record of shipping data systems to production
- Balances technical depth with practical business awareness
- Can communicate across technical and non-technical audiences
- Is proactive about learning and staying current with evolving technologies
- Works well in teams and takes pride in enabling others success
EY Building a better working world
EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.
Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Bij EY Studio+ creëren we transformatieve ervaringen die mensen in beweging brengen en markten vormgeven. We combineren design, technologie en commercieel inzicht, aangevuld met EY.ai, een verenigend platform en aangedreven door ons volledige spectrum van diensten.
