Job Description


Key responsibilities may include
  • Process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system Design optimal data warehouse and analytics solution to fulfill the business/technical requirement
  • Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short-term tactical solutions
  • Work with team through problem definition, issue identification and work plan development using problem solving principles and past experience
  • Identify the gap between business requirement and data architecture and propose solution to resolve or shorten the gap
  • Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio
  • Design the common data architecture asset including framework, principle, guideline and template to guide the delivery team realize an optimized solution


  • 2 to 6 years of experience in data engineering
  • Proficient understanding of distributed computing principles, the fundamental design principles behind a scalable application, and the Big Data Hadoop eco system
  • Practical expertise in developing applications and using querying tools on top of Spark and Hive
  • Experience with Scala or Java
  • Experience with Kafka
  • Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle
  • Practical experience in using HDFS
Preferred Skill Requirements:
  • Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.  Knowledge of Trade Finance or Securities Services particularly useful.
  • Stakeholder management, team management
  • Experience in working in Teams using the Agile Methods (SCRUM) and Confluence/JIRA
  • Knowledge and experience in Data Quality & Governance
  • Experience with Hortonworks/Cloudera platforms
  • Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted)
  • Experience in Python, particularly the Anaconda environment
  • Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus
  • Experience with using GIT/GITLAB as a version control system
  • Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible)
  • Knowledge of Elastic Search Stack (ELK)
  • Experience with Google Cloud Platform (Data Proc / Dataflow)

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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