DescriptionJoin us as we embark on a journey of collaboration and innovation where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the Compute Infrastructure Platforms organisation you are an integral part of an agile team that works to enhance build and deliver data collection storage access and analytics solutions in a secure stable and scalable way. As a core technical contributor you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Generates data models for their team using firmwide tooling statistics and contextual analysis
- Delivers data collection storage access and analytics data platform solutions in a secure stable and scalable way
- Implements database back-uprecovery and archivingstrategy
- Evaluates and reports onaccesscontrol processes todetermineeffectiveness of dataasset security with minimal supervision
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Five years of relevant working experience with bothrelational and NoSQL databases
- Experience and proficiency across the data lifecycle
- Experience with database back-up recovery and archiving strategy
- Experience architecting and managing data solutions on major cloud platforms (AWS Azure Google Cloud).
- Demonstrated ability to implement and oversee data governance frameworks including regulatory compliance.
- Hands-on experience designing building and optimizing complex ETL/ELT pipelines for large-scale distributed data systems.
Preferred qualifications capabilities and skills
- Proven track record in database performance optimization including query tuning indexing strategies and resource management for both relational and NoSQL systems.
- Experience leading technical teams mentoring junior engineers and fostering collaborative inclusive environments.
- Ability to work closely with business stakeholders data scientists and software engineers to deliver integrated data solutions.
- Strong skills in documenting data models architecture decisions and operational procedures for knowledge sharing and compliance.
- Familiarity with CI/CD pipelines automated testing frameworks and monitoring tools relevant to data engineering.
- Familiarity with modern enterprise level compute infrastructure including virtualised and cloud solutions.
- Familiarity with Databricks Parquet Iceberg and or other high volume solutions.
Required Experience:
IC
DescriptionJoin us as we embark on a journey of collaboration and innovation where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.As a Lead Data Engineer at JPMorganChase within the Compute Infrastructure Platf...
DescriptionJoin us as we embark on a journey of collaboration and innovation where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the Compute Infrastructure Platforms organisation you are an integral part of an agile team that works to enhance build and deliver data collection storage access and analytics solutions in a secure stable and scalable way. As a core technical contributor you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Generates data models for their team using firmwide tooling statistics and contextual analysis
- Delivers data collection storage access and analytics data platform solutions in a secure stable and scalable way
- Implements database back-uprecovery and archivingstrategy
- Evaluates and reports onaccesscontrol processes todetermineeffectiveness of dataasset security with minimal supervision
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Five years of relevant working experience with bothrelational and NoSQL databases
- Experience and proficiency across the data lifecycle
- Experience with database back-up recovery and archiving strategy
- Experience architecting and managing data solutions on major cloud platforms (AWS Azure Google Cloud).
- Demonstrated ability to implement and oversee data governance frameworks including regulatory compliance.
- Hands-on experience designing building and optimizing complex ETL/ELT pipelines for large-scale distributed data systems.
Preferred qualifications capabilities and skills
- Proven track record in database performance optimization including query tuning indexing strategies and resource management for both relational and NoSQL systems.
- Experience leading technical teams mentoring junior engineers and fostering collaborative inclusive environments.
- Ability to work closely with business stakeholders data scientists and software engineers to deliver integrated data solutions.
- Strong skills in documenting data models architecture decisions and operational procedures for knowledge sharing and compliance.
- Familiarity with CI/CD pipelines automated testing frameworks and monitoring tools relevant to data engineering.
- Familiarity with modern enterprise level compute infrastructure including virtualised and cloud solutions.
- Familiarity with Databricks Parquet Iceberg and or other high volume solutions.
Required Experience:
IC
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