Description : Skill set :
Extensive Data and Analytics experience in the following :
- Data visualization tools (e.g. Tableau, Power BI)
- Data Platforms like Data Bricks, Snow Flakes
- Understanding of Cloud Platform / AWS / Kafka etc.
- Experience in designing & building Data Models / Data Warehouse & Marts
- Hands on experience in writing complex stored procedure, Functions & Triggers using Structured Query language (T-SQL)
- Hands on experience in performance tuning slow running SQL queries.
- Data modelling tools (e.g. SQL Developer, Python , Database Workbench, ER / Studio)
- Strong analytical skills and logical thinking to manage issues in a high-pressure :
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
- Execution of data cleansing and transformation tasks to prepare data for analysis.
- Designing and building data pipelines to automate data movement and processing.
- Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
- Documentation of data quality findings and recommendations for improvement.
- Strong Experience in Artificial Intelligence (AI) / Machine Learning (ML) algorithms.
- Strong Experience in Alation / Snowflake / Starbursts / DBT / Airflow etc.
- Experience architecting and designing front office mission critical, data intensive business applications.
Some other highly valued skills include :
Excellent communication and stakeholder management skills.Strong problem-solving and analytical abilities.Ability to mentor and guide junior team members.Domain Experience :
Good Experience into any of the areas among Retail Banking, Corporate Banking, Wealth Management, Payments etc. while either working within a Bank or for a Bank / Financial Institution as a Client(ref : hirist.tech)