
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.
November 6
Airflow
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Hadoop
Informatica
Java
Kafka
Python
Scala
Spark
SQL
SSIS

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.
• Design, develop ETL/ELT pipelines for structured, semi-structured, and unstructured data. • Build data storage solutions (data lakes, warehouses, and streaming platforms). • Implement data quality, validation, and monitoring processes. • Optimize query performance and resource utilization in data processing systems. • Collaborate with data scientists, ML engineers, and application developers to ensure seamless data availability. • Automate workflows for data ingestion, transformation, and delivery.
• Possess some experience as a Data Engineer or ETL Developer. • Basic proficiency in SQL and at least one programming language (Python, Java, or Scala). • Minimum qualifications of Diploma/ Bachelor’s degree in Computer Science/ IT/ Machine Learning/ AI. • Experience with big data frameworks such as Apache Spark, Flink, or Hadoop. • Proficiency with ETL tools (Informatica, Talend, Microsoft SSIS) or open-source integration tools (Kafka, NiFi, Airflow). • Understanding of data modeling, warehousing concepts, and schema design. • Familiarity with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse). • Experience with streaming data processing and real-time analytics pipelines.
• At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. • We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
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