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