Wednesday , February 8 2023

Credit Suisse Openings – BigData Developer

Website Credit Suisse

Job Description:

As a Big Data Engineer you will be joining our growing dedicated team of big data specialists in F1 Engineering India team of Credit Suisse. This role offers


Job Responsibilities:

  • Collaboratively work as part of the global team.
  • Transparent and regular interaction with business functions’ owners and business partners.
  • Chance to create & develop enterprise architecture solutions being used across divisions and operations within the bank and build enterprise grade scalable application landscape tools.
  • Build and optimize ‘big-data’ data pipelines, architectures and data sets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Authoring advanced SQL and working with a variety of relational SQL and NoSQL databases.
  • Identifying innovative ways to resolve the problems and increase customer satisfaction for CFO business.
  • Improve the knowledge of finance domain & related business processes.

Job Requirements:

  • Design, develop and deploy metadata mappers and rules for source to target data harmonization, data auto-correction, data quality validation, etc
  • Agile story testing, Jira and confluence documentation and functional support for releases;
  • Translating business requirements and functional specifications into agile features and user stories;
  • Documentation of interface design in form of DDA, OLA and SLA agreements;
  • Analysis using SQL queries on IMPALA Hive, HDFS tables for providing effective solutions and confirming requirements;

Qualification & Experience:

  • 3+ years of strong delivery experience in Big data technologies, Cloudera Hadoop components such as HDFS, Sentry, Impala, Hue, Spark, Hive, Kafka and programming languages like Java, Scala & Python.

Job Details:

Company: Credit Suisse

Vacancy Type:  Full Time

Job Location: Nagpur, Maharashtra, IN

Application Deadline: N/A

Apply Here

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