DescriptionYou thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorganChase within the Corporate and Investment Banking (CIB) Technology Glass Liquidity and Cash Management team youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Design develop and maintain robust data pipelines for data extraction transformation and ingestion of large-scale datasets into a lakehouse
- Build and optimize data workflows using Java Spring Boot Apache Flink Python PySpark and Databricks.
- Integrate and process streaming data using Kafka and Apache Flink
- Implement databricks pipelines that build complex business data aggregates for BI reporting and analytics.
- Ensure data quality integrity and security across all data platforms.
- Monitor troubleshoot and optimize data pipeline performance.
- Document data flows architecture and processes.
Required qualifications capabilities and skills
- Bachelors degree in computer science Engineering or related field
- Formal training or certification on software engineering concepts with 2 years of experience
- Strong hands-on Experience in Java Apache Flink Python or PySpark.
- Strong hands-on experience in writing complex SQL/PLSQL
- Proficient in Kafka for real-time data streaming.
- Good understanding of data extraction ingestion and ETL processes.
- Understanding of Lakehouse Architecture and working experience on Databricks platform would be advantage.
- Experience building dashboards using Tableau would be an advantage.
- Familiarity with Cloud-based storage technologies like AWS S3.
- Excellent problem-solving and communication skills.
Required Experience:
IC
DescriptionYou thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.As a Data Engineer II at JPMorganChase within the Corporate and Investment Banking ...
DescriptionYou thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorganChase within the Corporate and Investment Banking (CIB) Technology Glass Liquidity and Cash Management team youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Design develop and maintain robust data pipelines for data extraction transformation and ingestion of large-scale datasets into a lakehouse
- Build and optimize data workflows using Java Spring Boot Apache Flink Python PySpark and Databricks.
- Integrate and process streaming data using Kafka and Apache Flink
- Implement databricks pipelines that build complex business data aggregates for BI reporting and analytics.
- Ensure data quality integrity and security across all data platforms.
- Monitor troubleshoot and optimize data pipeline performance.
- Document data flows architecture and processes.
Required qualifications capabilities and skills
- Bachelors degree in computer science Engineering or related field
- Formal training or certification on software engineering concepts with 2 years of experience
- Strong hands-on Experience in Java Apache Flink Python or PySpark.
- Strong hands-on experience in writing complex SQL/PLSQL
- Proficient in Kafka for real-time data streaming.
- Good understanding of data extraction ingestion and ETL processes.
- Understanding of Lakehouse Architecture and working experience on Databricks platform would be advantage.
- Experience building dashboards using Tableau would be an advantage.
- Familiarity with Cloud-based storage technologies like AWS S3.
- Excellent problem-solving and communication skills.
Required Experience:
IC
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