Credit Suisse jobs - Bigdata Developer

We Offer

We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global Conduct and Ethics Standards

Responsibilities

) for development team in Pune, with strong technical skills in Big-Data / Python and following job responsibilities

Product Control & Tax IT within CFO Technology space is looking for a developer (6-9 Years Exp.

• Participate in requirements, design, coding, review & test strategy for technical solutions
• Develop functional & technical solutions for the project BOW
• Coordinate and manage the integration and UAT phases; ensure resolution of any issues / defects
• Coordinate and resolve L3 issues and concerns
• Engage and coordinate with our vendor partners to drive the quality of our delivery by using process standardization and best-practices
• Act as a SME for F1 VRC from Pune
• Propose ideas/detailed technical plans on improvements

You Offer

Understand the value of diversity in the workplace and is dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work

Required Skills

• 6-9 years of hands-on working experience in Big-Data Technologies/Tools such as
• HDFS, Impala, Hive, HBase, Spark, Sqoop, kudu
• SQL
• Languages – Python
• Visualization toolsets – Qlik Sense, Tableau.
• Architecture of Cloudera, Yarn, Gateway / Datanode / Namenode servers
• Strong knowledge in Unix Commands/Shell scripting
• Experience with integration of data from multiple data sources
• Prepare documentation for design and implementation
• Perform design and code review for the team members
• Outstanding organizational, communication skills as well as analytical and problem solving skills
• Ability to perform Multi-Tasking
  
  

Good To Have Skills

• Knowledge of NoSQL databases, such as Hbase
• Knowledge of various ETL techniques and frameworks, such as Flume, kafka
• Exposure to SDLC tools, such as: JIRA, Confluence, SVN, TeamCity, GIT, Dev-ops, Service-Now
• Exposure to L3 application support – analyze and resolve issues
• Exposure to Banking / Financial Services and preferably Investment Banking
• Familiar with scheduling tools i.e. Control M or Autosys
  

India-Pune-Pune