Senior Data Engineer

Company Description

Established in 2017 through the merger of Misys and D+H, we offer the most comprehensive portfolio of financial services software in the world today - covering retail banking, transaction banking, lending, capital markets and treasury.

Our solutions allow customers to implement vital technology on location or in the cloud. Boasting a wide reach and large scale, we facilitate valuable solutions and opportunities for customers, regardless of their size or location. By offering open, secure, and reliable solutions, we help customers accelerate growth, reduce cost, manage risk, and continuously adapt to their changing needs.

As a truly global organization with offices in 42 countries worldwide, we have a workforce of approximately 10,000 employees. We serve 9,000 customers, including 48 of the top 50 banks worldwide. Through our software, we’re consistently pushing the limits to do more for our customers. We take pride in being an organization where our vision, values, and cultural beliefs are not just shared, but actively embodied by our staff across the globe, and where recognition forms part of our day-to-day work.

Job Description

In charge of uncovering, diagnosing, designing, developing, and maintaining data. You will ensure the effective and accurate data transfer from varying sources, focusing on Salesforce and other core applications. You will work closely with cross-functional teams to provide high-quality, reliable, and useful data for analytics, reporting, and business operations.

Key Responsibilities:

• Data Extraction: Retrieving data from Salesforce and other core applications using APIs, batch processes, or other relevant methods, while ensuring data integrity and security.
• Data Transformation: Converting raw data into a structured and usable format by applying data cleaning, normalization, and enrichment techniques.
• Data Loading: Designing and maintaining ETL (Extract, Transform, Load) processes to load data into data warehouses, data lakes, and other data storage solutions.
• Data Validation: Carrying out data validation checks and quality assurance processes to identify and correct data anomalies, inconsistencies, and errors.
• Collaboration: Working with cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehend requirements and make sure data solutions match business needs.
• Security and Compliance: Following data security and compliance best practices, ensuring the protection of sensitive and confidential information.
• Optimization: Constantly looking for opportunities to optimize and enhance data engineering processes for efficiency and performance.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, with a strong focus on Salesforce and core applications.
• Proficiency in ETL tools and technologies
• Strong knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, or Oracle).
• Experience with data warehousing and data modeling concepts.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related data services.
• Excellent problem-solving and communication skills.
• Capability to work both independently and as part of a team in a fast-paced, dynamic environment.
• Salesforce certification (e.g., Salesforce Certified Data Architecture and Management Designer) is preferred but not crucial.
• Minimum 1-2 years experience in a similar position