Job descriptionGood understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.Experience with SDLC methodology and / or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.Strong programming experience with frameworks including XML, JavaScript, and ETLDeveloping, updating, and automating reports and dashboards using visualization toolsUsing software to automate data collection and modificationExperience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.