Job Description : Strong analytical and problem-solving skills to effectively design data solutions. o Banking Retail Business & Wholesale Product Knowledge and understanding o Attention to detail and a commitment to delivering high-quality work. o Excellent communication and teamwork skills to collaborate with cross-functional teams. o Ability to manage time effectively and prioritize tasks in a dynamic work environment. Technical Skills: o Strong data querying and processing skills using SQL Oracle Apache Spark or similar language o Data Visualization tools Power BI Business Objects Crystal or similar tool o Data Warehousing and ETL concepts
Competencies: o Expert-level proficiency in SQL Python with SAS/R/Spark as plus o Deep understanding of distributed data processing frameworks particularly Apache Spark. o Experience with cloud platforms (Azure AWS) including Object storage compute networking and data integration services. o Familiarity with data modeling techniques including schema design partitioning and performance tuning. o Experience working with structured and semi-structured data formats (e.g. JSON Parquet Avro XML). o Knowledge of data governance quality assurance and compliance best practices. o Solid grasp of core computer science fundamentals (e.g. data structures search algorithms queues) relevant to performance-critical data engineering |
Required Experience:
IC
Job Description :Strong analytical and problem-solving skills to effectively design data solutions.o Banking Retail Business & Wholesale Product Knowledge and understandingo Attention to detail and a commitment to delivering high-quality work.o Excellent communication and teamwork skills to collabor...
Job Description : Strong analytical and problem-solving skills to effectively design data solutions. o Banking Retail Business & Wholesale Product Knowledge and understanding o Attention to detail and a commitment to delivering high-quality work. o Excellent communication and teamwork skills to collaborate with cross-functional teams. o Ability to manage time effectively and prioritize tasks in a dynamic work environment. Technical Skills: o Strong data querying and processing skills using SQL Oracle Apache Spark or similar language o Data Visualization tools Power BI Business Objects Crystal or similar tool o Data Warehousing and ETL concepts
Competencies: o Expert-level proficiency in SQL Python with SAS/R/Spark as plus o Deep understanding of distributed data processing frameworks particularly Apache Spark. o Experience with cloud platforms (Azure AWS) including Object storage compute networking and data integration services. o Familiarity with data modeling techniques including schema design partitioning and performance tuning. o Experience working with structured and semi-structured data formats (e.g. JSON Parquet Avro XML). o Knowledge of data governance quality assurance and compliance best practices. o Solid grasp of core computer science fundamentals (e.g. data structures search algorithms queues) relevant to performance-critical data engineering |
Required Experience:
IC
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