Mid Level Data Engineer (ETL) at MUFG Investor Services

Limassol, Cyprus, Cyprus -

Full Time

Start Date

Immediate

Expiry Date

02 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Infrastructure Management, ETL Development, Data Integration, Data Quality, Data Governance, Performance Optimization, Real-time Data Processing, Data Security, Data Privacy, Agile Methodologies, Attention to Detail, Client-focused Service, Python, Apache NiFi, Data Validation, Data Cleansing

Industry

Financial Services

Description

Company Description Experience something Brilliantly Different with a career at MUFG Investor Services. Who are we? In a nutshell, MUFG Investor Services is part of the Mitsubishi UFJ Financial Group, and we partner with over 480 loyal global investment firms to provide them with administration, asset services, banking and fund financing. We’re in 14 global locations and provide an exceptional hub of Brilliantly Different talent to thrive. #LI-Hybrid Job Description Reporting to the Data Flow Chapter Lead, your roles and responsibilities will include: Data Infrastructure Management: Designing, building, and maintaining the data infrastructure, including databases, and data pipelines, to ensure efficient data storage and retrieval. ETL (Extract, Transform, Load) Development: Developing and implementing ETL processes to extract data from various sources, transform it into a consistent format, and load it into the data ecosystem for analysis. Data Integration: Integrating data from different systems and sources, including internal databases and external APIs, to create a unified view of the organization's financial data. Data Quality and Governance: Ensuring data quality, integrity, and security by implementing data governance processes, data validation, and data cleansing procedures. Performance Optimization: Optimizing data infrastructure and processing pipelines to enhance data processing speed and overall system performance. Real-time Data Processing: Implementing real-time data processing solutions to handle streaming financial data for time-sensitive applications like trading platforms or fraud detection. Data Security and Privacy: Implementing security measures to protect sensitive financial data from unauthorized access and complying with data privacy regulations. Collaborative Work: Collaborating with product owners, business analysts, data analysts, data scientists, and other stakeholders to understand data requirements and provide them with reliable and accessible data. #LI-Hybrid Qualifications You Have: A Bachelor’s degree in Computer Science or a related technical field or equivalent experience. 3-5 years of commercial experience ETL tools (experience with Apache NiFi will be considered an advantage). Experience in data-related process controls. Experience working with a team of developers using agile methodologies to achieve planned process deliverables. A High level of accuracy and attention to detail. A passionate commitment to providing client-focused quality service. Preferred: Experience with programming languages, ideally Python Additional Information What’s in it for you to join MUFG Investor Services? Take a look at our careers site and you’ll find everything you’d expect working with one of the fastest-growing businesses at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus. So, why settle for the ordinary? Apply now for your next Brilliantly Different opportunity. We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted. MUFG is an equal opportunity employer. Rank: Senior Associate Employment Type: Permanent Full Time

Responsibilities

The role involves designing, building, and maintaining data infrastructure, as well as developing ETL processes for data extraction, transformation, and loading. Additionally, it includes ensuring data quality and security while collaborating with various stakeholders.