Data Engineer (SQL, Agile)

Key skillsAdvanced SQL proficiency, design database schema tables, stored procedures, views, functions, triggers, and indices to meet the application performance requirement.Strong SQL or Excel skills, good experience in reporting tools such as MS Reporting Services, Crystal ReportsExpertise in data architecture, including data modelling, database design and development, data mining, and segmentation techniques. Familiar with Star/Snowflake schema, dimensional modellingExperience in building robust data pipelines and ETL processes, preferably using AWS technologies such as Glue, Lambda, S3, Redshift, Athena, MSK/Kafka, Kinesis, Streaming Glue, AWS Database Migration Service, and Step Functions.Strong knowledge of business intelligence (BI) platforms, with experience developing, maintaining, and enhancing BI dashboards and reports that deliver actionable insights to support data-driven decision-making.High-level experience managing large-scale databases, including designing and optimising data flows and storage solutions.Proven ability to work with large datasets and relational database systems, ensuring data integrity and performance.Nicw-to-have skillsIELTS 6.0 or equivalent would be beneficial.Experience working in the payments and financial services industries.3-4 years of data analysis experience.Familiar with Python and No SQL technologies such as Cassandra, DynamoDB.Familiar with Datalake or Datamesh architecture.