Deutsche Bank Group
ETLPentahoDeveloper
Neural analysis suggests this role is
optimal for Mid+ candidates.
“ETL Pentaho Developer at Deutsche Bank Group. Skills: Pentaho Data Integration (PDI), ETL processes, data integration, data quality, performance optimization. design, development, and implementation of ETL processes using Pentaho Data Integration (PDI). managing data extraction, transformation, and loading (ETL) processes”
Industry & Context.
Excellent analytical and problem-solving skills to address complex data challenges
What They're Looking For.
Must Have
Pentaho Data Integration (PDI), SQL, Data Warehousing concepts, data modeling, schema design, data marts, Java, Python, VBA, database design, RESTful APIs, data profiling, data analysis, data quality, implementing complex ETL projects, integrating data from multiple sources, ensuring data consistency and quality, optimizing ETL processes for performance and scalability, troubleshoot and resolve issues in ETL processes, working with cross-functional teams, business analysts, data scientists, stakeholders
Nice to Have
Informatica, Talend, SSIS
What You'll Do.
and implementation of ETL processes using Pentaho Data Integration (PDI)
managing data extraction
and loading (ETL) processes
managing and optimizing the ETL (Extract
Load) processes using Pentaho tools
Development: Implementation of ETL processes using Pentaho Data Integration (PDI)
creating data pipelines to extract data from various sources
transform it into the required format
and load it into target systems
Ensure seamless integration of data from multiple sources
maintaining data quality and consistency
Optimize ETL processes for performance and scalability
tuning data transformations and load processes to handle large volumes of data efficiently
Document ETL processes
and system architecture
Provide support for ETL processes
including troubleshooting issues and implementing fixes
Ensure data accuracy and integrity throughout the ETL lifecycle
and coordinating tasks
Ensure projects are delivered on time and within scope
Ensure that ETL processes comply with data governance and security policies
Implement measures to protect sensitive data and maintain compliance with relevant regulations
How You'll Work.
Team & Collaboration
Work closely with business analysts, data Architects, and other stakeholders to understand data requirements and deliver solutions that meet business requirements; Experience working with cross-functional teams, including business analysts, data scientists, and other stakeholders
Communication Scope
Appropriate communication skills to effectively convey technical information to non-technical stakeholders
Process & Methodology
Lead ETL projects, including planning, scheduling, and coordinating tasks
Full Job Description
## _**Job Description:**_ **Job Title: ETL Pentaho Developer** **Corp Title: Associate** **Location: Pane, India** **Role Description** The ETL Pentaho developer is responsible for the design, development, and implementation of ETL processes using Pentaho Data Integration (PDI). This role involves managing data extraction, transformation, and loading (ETL) processes to ensure data is accurately and efficiently processed for business intelligence and analytics purposes. **What we’ll offer you** As part of our flexible scheme, here are just some of the benefits that you’ll enjoy * Best in class leave policy * Gender neutral parental leaves * 100% reimbursement under childcare assistance benefit (gender neutral) * Sponsorship for Industry relevant certifications and education * Employee Assistance Program for you and your family members * Comprehensive Hospitalization Insurance for you and your dependents * Accident and Term life Insurance * Complementary Health screening for 35 yrs. and above **Your key responsibilities** * Managing and optimizing the ETL (Extract, Transform, Load) processes using Pentaho tools. * Development: Implementation of ETL processes using Pentaho Data Integration (PDI). This includes creating data pipelines to extract data from various sources, transform it into the required format, and load it into target systems. * Ensure seamless integration of data from multiple sources, maintaining data quality and consistency. This involves working with different data formats and structures. * Optimize ETL processes for performance and scalability. This includes tuning data transformations and load processes to handle large volumes of data efficiently. * Work closely with business analysts, data Architects, and other stakeholders to understand data requirements and deliver solutions that meet business requirements. * Document ETL processes, data flows, and system architecture. Maintain clear and comprehensive documentation for future reference and troub
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