Data Ops Capability Deployment - Analyst

• work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
• address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities
• 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
• understand 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

• 10+ years of active development background and experience in Financial Services or Finance IT is 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
• supportive and inclusive work environment