Job Description
Position Overview
Deutsche Bank
Job Description - Data Engineer - Python and Spark
Corp Title: Associate/AVP
Functional Title : Developer
Work Location: Pune, India
Division/Department: Infrastructure/GCIO/Platform Technology
Reports to: Big Data Module AVP
About Deutsche Bank & Group Technology and Operations (GTO):
Deutsche Bank AG is a German global banking and financial services company with its headquarters in the Deutsche Bank Twin Towers in Frankfurt, Germany. It employs more than 80,000 people in over 70 countries, and has a large presence in Europe, the Americas, Asia-Pacific and the emerging markets.
Role Description - Summary:
Part of the Group Chief Information Office, the Enterprise Analytics Platform (EAP) is a shared technology service to provide advanced data management and data analytics capabilities in a cost and operationally efficient manner. By combining a number of Big Data and NoSQL technologies, and an integrated set of best of breed data science tools, the EAP is able to support the creation of unique data insights (e.g. predictive analytics) at greatly reduced cost and improved time to market when compared to traditional data mining techniques.
The EAP is built on Apache Hadoop - one of the leading Big Data technologies
The successful candidate would play the role of Data Engineer in the Enterprise Analytics Platform.
Responsibilities/Tasks:
• Evaluate various tools/technologies by performing PoCs on them
• Engineer new tools and technologies into the EAP stack
• Benchmark tools/technologies and publish the benchmarks
• Assist users in remediating performance issues observed in the Big Data tools and technologies
• Develop automation scripts in Python/Scala and Apache Spark
• Develop performance test suites for various tools and technologies
• Design, develop and configure Production level Secure Hadoop based data ingestion and analytics services
• Ensure delivery in adherence to appropriate controls, standards and methods as per DB IT policies
• Performance tuning & optimization of ETL and analytics frameworks
• Contributing toward Continuous improvement and R&D
• Supporting projects and platform users with innovative solution development
Experience/Exposure:
• Total Handson experience of 10-16 years for AVP , 5-10 years for Associate
• 3-7 years of experience in Python
• 2-3 years of experience in Apache Spark, Hive/Impala/Kafka etc.
• Working knowledge of Spark RDD, Data Frame API, Data set API, Data Source API & Spark SQL
• Hands on knowledge of developing Python consumers & producers
Deutsche Bank
Job Description - Data Engineer - Python and Spark
Corp Title: Associate/AVP
Functional Title : Developer
Work Location: Pune, India
Division/Department: Infrastructure/GCIO/Platform Technology
Reports to: Big Data Module AVP
About Deutsche Bank & Group Technology and Operations (GTO):
Deutsche Bank AG is a German global banking and financial services company with its headquarters in the Deutsche Bank Twin Towers in Frankfurt, Germany. It employs more than 80,000 people in over 70 countries, and has a large presence in Europe, the Americas, Asia-Pacific and the emerging markets.
Role Description - Summary:
Part of the Group Chief Information Office, the Enterprise Analytics Platform (EAP) is a shared technology service to provide advanced data management and data analytics capabilities in a cost and operationally efficient manner. By combining a number of Big Data and NoSQL technologies, and an integrated set of best of breed data science tools, the EAP is able to support the creation of unique data insights (e.g. predictive analytics) at greatly reduced cost and improved time to market when compared to traditional data mining techniques.
The EAP is built on Apache Hadoop - one of the leading Big Data technologies
The successful candidate would play the role of Data Engineer in the Enterprise Analytics Platform.
Responsibilities/Tasks:
• Evaluate various tools/technologies by performing PoCs on them
• Engineer new tools and technologies into the EAP stack
• Benchmark tools/technologies and publish the benchmarks
• Assist users in remediating performance issues observed in the Big Data tools and technologies
• Develop automation scripts in Python/Scala and Apache Spark
• Develop performance test suites for various tools and technologies
• Design, develop and configure Production level Secure Hadoop based data ingestion and analytics services
• Ensure delivery in adherence to appropriate controls, standards and methods as per DB IT policies
• Performance tuning & optimization of ETL and analytics frameworks
• Contributing toward Continuous improvement and R&D
• Supporting projects and platform users with innovative solution development
Experience/Exposure:
• Total Handson experience of 10-16 years for AVP , 5-10 years for Associate
• 3-7 years of experience in Python
• 2-3 years of experience in Apache Spark, Hive/Impala/Kafka etc.
• Working knowledge of Spark RDD, Data Frame API, Data set API, Data Source API & Spark SQL
• Hands on knowledge of developing Python consumers & producers
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.