BigData-Hadoop/Scala Engineer. AS

BigData-Hadoop/Scala Engineer. AS

Position Overview

Job Title :BigData-Hadoop/Scala Engineer

Location : Pune, India

Role Description

An Associate Engineer is responsible for developing and delivering elements of engineering solutions to accomplish business goals. Awareness is expected of the important engineering principles of the Bank. Root cause analysis skills are developed through addressing enhancements and fixes to products. They attempt to build reliability and resiliency into solutions through early testing, peer reviews and automating the delivery lifecycle.

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

• This role is for Software Engineer responsible for Design and Developing software applications.
• The candidate is expected to work closely with Team Leads or Software Development Managers and other key stake holders to ensure good quality, maintainable, scalable and high performing software applications are delivered to users.
• Candidate/Applicant should be coming from a strong technological background.
• Should be hands on and be able to work independently requiring minimal technical/tool guidance.
• Should have good communication skill and strong positive outlook.
• Experience working in Agile and Scrum delivery
• Should be able to contribute towards good software design
• Participate in daily stand-up meetings
• Analyze software defects and fix them in timely manner
• Work closely with Functional Analysis and Quality Assurance teams

Your skills and experience

Must have

• Extensive experience with Hadoop & Java related technologies
• Undestanding of Hadoop ecosystem and HDFS file System.
• Undestanding of different types of nodes in a Hadoop cluster.
• Experience with MapReduce framework.
• Experience with Hive, Pig, Impala, Spark SQL etc
• Experience with Apache Spark and Scala (preferably greater than version 2.0)
• Experience Spark job optimization
• Experience on GCP including Composer, Data Proc, Big Query,
• Experience with File handling such as Avro/Parquet etc
• good understaning of BEELINE command to connect to HIVE server Spring Batch/Core/Boot Extensive experience with atleaset one JavaEE application server Xml binding. Parsers and xml schemas/xpath/xslt Core java concepts such as lambdas and functional programming Tuning and Troubleshooting, experience with profiling and monitoring tools
• Experience with Messaging and integration, Patterns, REST, SOA Experience with build and deployment
• GIT/GIHub/Maven/Artifactory/Teamcity or Jenkins
• Unix scripting and hands on experience Knowledge of emerging trends and technologies

Nice to have

• Experience with cloud technologies such as Docker, Kubernetes, Openshift, Azure,
• Experience with end to end design and delivery of solutions Experience with UI frameworks like Angular or React RDBMS /Oracle design, development, tuning

How we'll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.