Data Engineer - Informatica

Company:  CV-Library
Location: London
Closing Date: 23/10/2024
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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