Deutsche Bank
Private Bank
DataEngineerforPrivateBankOneDataPlatformonGoogleCloud
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer for Private Bank One Data Platform on Google Cloud at Deutsche Bank. Skills: Data Engineering, Google Cloud Platform, Python, SQL, Data Warehousing, ETL. Development, design, and provision of different solutions in the field of data warehousing, reporting and analytics. Provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions”
Industry & Context.
Excellent analytical and conceptual thinking
What They're Looking For.
Must Have
Hands-on development work building scalable data engineering pipelines and other data engineering/modelling work using Python, Informatica power Center, Oracle PLSQL, SQL, Excellent knowledge of SQL and NOSQL databases, Experience working in a fast-paced and Agile work environment, Working knowledge of public cloud environment
Nice to Have
Experience in DataProc (Apache Spark)/Cloud Functions/Cloud Run, Knowledge of workflow management tools such as Apache Airflow/Composer, Demonstrated ability to write clear code that is well-documented and stored in a version control system (GitHub), Knowledge of GCS Buckets, Google Pub Sub, BigQuery, Knowledge about ETL processes in the Data Warehouse environment/Data Lake and how to automate them, Knowledge of provisioning cloud resources using Terraform, Knowledge of Shell Scripting, Experience with Git, CI/CD pipelines, Docker, and Kubernetes, Knowledge of Google Cloud Cloud Monitoring & Alerting, Knowledge of Cloud Run, Cloud Function
What You'll Do.
and provision of different solutions in the field of data warehousing
reporting and analytics
Provide fast and reliable data solutions for warehousing
Customer- and Business Intelligence solutions
Integrate data provided by legacy IT solutions into designed databases and make it accessible to services consuming those data
Design and setup of databases
data transformations (ETL)
Contribute to data harmonization as well as data cleansing
Build highly scalable solutions that can be operated flawlessly under high load scenarios
Run and develop application self-sufficiently
Automate processes with high manual effort
How You'll Work.
Team & Collaboration
Work within internationally staffed agile teams; Partner with Serviceackend Engineers; Collaborate with Product Owners as well as team members regarding design and implementation of data analytics solutions; Act as support during the conception of products and solutions; Work with distributed teams (especially Germany + India)
Communication Scope
Excellent communication skills
Full Job Description
## _**Job Description:**_ **Job Title: Data Engineer for Private Bank One Data Platform on Google Cloud** **Corporate Title: AVP** **Location: Pune, India** **Role Description** * As part of one of the internationally staffed agile teams of the Private Bank One Data Platform, you are part of the "TDI PB Germany Enterprise & Data" division. The focus here is on the development, design, and provision of different solutions in the field of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes. * The PB One Data Platform is the new strategic data platform of the Private Bank and uses the Google Cloud Platform as the basis. With Google as a close partner, we are following Deutsche Bank’s cloud strategy with the aim of transferring or rebuilding a significant share of today’s on-prem applications to the Google Cloud Platform. **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** * Work within software development applications as a Data Engineer to provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions. * Partner with Service/Backend Engineers to integrate data provided by legacy IT solutions into your designed databases and make it accessible to the services consuming those data. * Focus on the design and setup of databases, data models, data transformations (ETL), critical Online banking business processes in the context C
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