Data Engineer

2 weeks ago

Galway, Galway, Ireland Trust In SODA Full time
Data Engineer – HIRING ASAP

Start date: ASAP
Duration: 11 Months
Location: 1 week per month in Galway, 3 weeks working from home
Rate: €485 per day
Summary:
We are currently seeking a Senior Data Engineer to work on Asset Management's Equity and Common Data Platforms to support Equity Advisors business specific requirements. This is a hands-on role where you will understand the requirements, contribute to designs and develop specific product features including model and provision datasets, develop consumption interfaces, build reusable components and resilient cloud-based services, provide insights etc.

Responsibilities:
  1. Contribute to the delivering of high quality, timely, cost effective and maintainable software solutions in an agile environment to meet functional and non-functional business requirements.
  2. Complying with and helping to adopt good engineering practices such as test-driven development, code and design reviews, oracle xplans, CI/CD.
  3. Work independently in delivering complex technical features.
  4. Communicate effectively in a team-oriented environment.
  5. You demonstrate a positive, collaborative attitude while delivering individually.
Key Skills:
  1. Familiarity with logical data modelling and relational database design.
  2. Data movement and ETL experience would be beneficial (preferably Informatica).
  3. Experience working with native AWS services, creating Data APIs, Snowflake and Python would be advantageous.
  4. Data Warehousing knowledge would be advantageous.
  5. Exposure to GIT, Jenkins and CICD Processes.
  6. Financials and Investment domains exposure will be a plus.
  7. Experience working in agile methodology, providing L3 support, and working as part of geographically distributed teams is desirable.
Minimum Requirements:
  1. Degree or equivalent in Computer Science, Engineering, or related discipline.
  2. Minimum of 5 years of experience in Oracle SQL & PL/SQL.
  3. Expertise in data analysis.
  4. Experience in SQL and PL/SQL performance tuning.
  5. Exposure to Agile development practices.
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