Data Engineer - Informatica

Company:  Change Digital
Location: London
Closing Date: 24/10/2024
Salary: £50,000 - £656,000 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Are you an experienced Data Engineer ?

Do you have extensive Informatica skills ?

Have you worked with Snowflake and AWS ?

Would you like to work for a fast growing business that specialises in Business Intelligence & Data Analytics ?

Its a hybrid working role and you will be based from either their London, Leeds, Manchester or Edinburgh office, typically 3 days a week from home and 2 day in office / on client site.

To be considered for the role you must have experience working in the financial services sector, be it direct or through consultancy.

Visa sponsorship is not provided

Your skills and attributes:

  • An excellent team player and able to work independently.
  • Excellent client facing skills.
  • A self-starter who is proactive in nature.
  • Excellent verbal, written communication, and presentational skills.
  • Ability to build internal and external relationships.
  • Effective negotiating and influencing skills.
  • Ability to think creatively and propose innovative solutions.
  • Strong self-developer.
  • Leadership skills.

Skills:

  • Informatica: Extensive hands-on experience with Informatica, including building and managing ETL pipelines.
  • Cloud Integration: Experience with cloud integration using AWS
  • ETL Processes: Proven ability in developing optimal and reliable ETL processes ingested from a wide variety of data sources, both structured and unstructured. Snowflake experience is required.
  • Data Transformation: Strong skills in data transformation, data cleansing, and data mapping using Informatica Cloud tools.
  • SQL: Advanced working knowledge in SQL and relational databases (e.g., Microsoft SQL Server, Oracle).
  • Data Warehousing: Experience in data warehousing, including data modeling and implementing data pipelines.
  • Data Management: Multi-skilled experience in Data Management, Data Integration, Data Quality, and Data Analytics.
  • Agile Methodologies: Experience working within Agile, Scrum, or DevOps environments.
  • Technical Business Analysis: Ability to translate business requirements into technical solutions.

For more information get in touch asap.

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