Data Ops Capability Deployment - Analyst

• Hands on with data engineering background and have thorough 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 the definition and refinement of overall data strategy
• should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities
• ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets
• build analytics dashboards & data science capabilities for Enterprise Data platforms
• communicate complicated findings and propose solutions to a variety of stakeholders
• understanding business and functional requirements provided by business analysts and convert into technical design documents
• work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support
• prepare handover documents and manage SIT, UAT and Implementation
• demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives
• requires a good understanding of the banking industry
• performs other duties and functions as assigned.

• 10+ years of active development background and experience in Financial Services or Finance IT is a required
• experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
• hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration
• in-depth understanding of Hive, HDFS, Airflow, job scheduler
• strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
• should be able to write complex SQL/Stored Procs
• should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot
• strong knowledge in one or more of the 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.

• Equal opportunity employer
• inclusive work environment
• career growth opportunities.