
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.
🕒 April 18
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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.
• Designing, building, and deploying data pipelines and workflows using Databricks (notebooks) or Azure Data Platform (Synapse or ADF). • Developing and optimizing PySpark and SparkSQL for data processing and analytics. • Experience with Delta Table formats (Databricks or Synapse). • ETL design, development and migration of existing on-prem ETL routines to Cloud Service • Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams • Design and optimize model codes for faster execution
• Be a computer science graduate or equivalent with 4 - 7 years of industry experience • Have working experience in an Agile base delivery methodology (Preferable) • Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. • Excellent communicator (written and verbal formal and informal). • Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support. • Ideally, you’ll also have Client management skills
• Support, coaching and feedback from some of the most engaging colleagues around • Opportunities to develop new skills and progress your career • The freedom and flexibility to handle your role in a way that’s right for you
Apply Now🕒 April 16
Senior Data Engineer designing and optimizing scalable data pipelines and architectures while working remotely for flexible freelance projects
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Hadoop
Kafka
Spark
SQL
🕒 April 10
Senior Data Engineer designing and operating data infrastructure for accessibility solutions company. Focus on integrating data into an AI-ready platform on Databricks and AWS.
AWS
DynamoDB
ETL
PySpark
Python
SQL
Unity
🕒 April 9
Data Engineer designing and implementing Azure data pipelines at Exavalu, a consulting firm specialized in Digital Transformation and Solution Delivery.
Azure
Cloud
PySpark
Spark
SQL
Unity
🕒 April 6
Senior Data Engineer and Data Architect at TechBiz Global. Overseeing data architecture and engineering, focusing on analytics and financial services.
Cloud
ETL
Informatica
SQL
🕒 April 1
Data Engineer focusing on Elasticsearch and data warehousing at Particle41. Building robust data pipelines and collaborating on impactful projects remotely.
AWS
Azure
Cloud
ElasticSearch
ETL
Flask
Google Cloud Platform
Java
Linux
Microservices
MongoDB
MySQL
NoSQL
Pandas
Postgres
PySpark
Python
Redis
Scikit-Learn
Spark
SQL