Key Responsibilities:-
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with data analysts and business stakeholders to understand data requirements.
Optimize data workflows for performance and reliability.
Ensure data quality, integrity, and security across systems.
Work with large datasets using tools like Hadoop, Spark, and SAS.
Integrate data from various sources including IBM Mainframe systems.
Troubleshoot and resolve data-related issues efficiently.
Required Skills & Experience:-
Proven experience as a Data Engineer with a strong foundation in data analysis.
Expert-level proficiency in SAS for data manipulation and reporting.
Working knowledge of IBM Mainframe systems and data structures.
Advanced programming skills in Hadoop, SQL, Spark, and Python.
Strong problem-solving and analytical skills.
Experience with data modeling, warehousing, and performance tuning.
Familiarity with Santander UK systems and processes is a strong advantage.
Preferred Qualifications:-
Bachelors or Masters degree in Computer Science, Data Engineering, or related field.
Certifications in SAS, Hadoop, or related technologies.
Experience working in financial services or banking domain.
Soft Skills:-
Excellent communication and collaboration abilities.
Ability to work independently and in a team-oriented environment.
Strong attention to detail and commitment to quality.
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