Job Description

The Senior Database Developer - Postgres SQL is expected to provide guidance to other developers that would be assigned to him/her in the course of the project. He/She must ensure the activities/processes performed follows strictly the development standards and processes as prescribed by in the IT governance.
Your Responsibilities :

• Design, Develop, Test, Deploy and administer Postgre Database on Cloud infrastructure, with a focus on the performance, high availability and scale.
• Collaborate with Technical Chapter Lead, architecture, and release teams, providing architectural design recommendations, driving standards for set up of Postgres
• Administration of PostgreSQL databases throughout the development and production lifecycles.
• Develop and maintain database monitoring tools and automation systems
• Implement automated methods and industry best practices for consistent installation and configuration of PostgreSQL for production and non-production environments
• Efficiently write database code without compromising data quality, privacy or security. Ensure code reviews are conducted.
• Provide support during SIT, UAT roll-out and post-production whenever needed.
• Ensure the project timelines are met within budget and with good quality.
• Ensure the standards per the Wealth management governance are followed at all times.
• Ensure all aspects of security are respected at all times during the course of work.

• Atleast 7+ year experienced in database related activities in Banking related operations.
• Have experienced in creating extracting, transforming, loading, and enhancing objects to ingest structured, semi-structured, and unstructured data sources; implementing, maintaining and optimizing data warehouses; and/or gathering and implementing user requirements.
• Extensive Experience writing and executing scripts or programs using programming languages (SQL or Python) to manipulate – Store data in PostgreSQL & Oracle.
• Experience with all complex data models & database script across all database object types – tables, views, procedures, functions, triggers
• Having a good understanding of Data Warehousing architectural design principles and Data Storage Model approach covering Stage, Raw, Refined, History & Schema Evolution
• Having a good understanding of Dimensional Modelling design covering optimized, Transformed, Facts & Dimensions
• Basic Knowledge & Experience in Data Integration tool ETL & ELT - Informatica, Apache Nifi extraction (API, Kafka, Direct) & Spark based transformation
• Working experience on Agile Methodology & DataOps tools like JIRA, Jenkins, BitBucket, Serena, Autosys
• Working knowledge of Unix / Linux operating system
• Experience in collaborating with software engineers/teams to solve complex application problems
• Good communication and collaboration skills
• Good understanding of Wealth Management Products is a plus.