Data Ops Capability Deployment - Analyst

• Hands-on with data engineering background
• understanding of Distributed Data platforms and Cloud services
• sound understanding of data architecture and data integration with enterprise applications
• research and evaluate new data technologies, data mesh architecture and self-service data platforms
• work closely with Enterprise Architecture Team on definition and refinement of overall data strategy
• address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities
• perform complex data analytics on large complex datasets
• build analytics dashboards and data science capabilities
• communicate findings and propose solutions to stakeholders
• convert business and functional requirements into technical design documents
• prepare handover documents and manage SIT, UAT and implementation
• assess risk when business decisions are made and demonstrate compliance with laws and regulations.

• 10+ years of active development background and experience in Financial Services or Finance IT
• experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
• hands-on experience for ETL using PySpark on distributed platforms
• in-depth understanding of Hive, HDFS, Airflow, job scheduler
• strong programming skills in Python with experience in data manipulation and analysis libraries Pandas, Numpy
• ability to write complex SQL/Stored Procs
• experience with DevOps, Jenkins/Lightspeed, Git, CoPilot
• strong knowledge in BI visualization tools such as Tableau, PowerBI
• proven experience in implementing Datalake/Datawarehouse for enterprise use cases
• exposure to analytical tools and AI/ML is desired.

exposure to analytical tools and AI/ML is desired.