Data Engineer – Python and Spark -Associate/AVP Job Vacancy in Deutsche Bank Pune, Maharashtra – Updated today

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Company Name : Deutsche Bank
Location : Pune, Maharashtra
Position :

Job Description : 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 using Kafka-Python client
Highly Desirable – Experience in REST services and Big Data technologies such as Oozie, Sqoop, and other bigdata ETL tools
Education/Certification:
Educated to Bachelors degree level or above (or overseas equivalent)
Candidate will be:
A creative technologist passionate about data and information
Logical, innovative, and should be able to articulate and should be able to work directly with technical and non-technical stakeholders
Experienced in commercial enterprise grade software and platform delivery
Organized and driven to continuously improve the platform and themselves
Diligent, methodical and able to constructively critique and improve designs and methods
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.

We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.

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