Job
Description
Work collaboratively with Data Analyst, Data Scientists Software Engineers and cross-functional partners to design and deploy data pipelines to deliver analytical solution. Responsible for building data pipelines, data model, data marts, data warehouse including OLAP cube in multidimensional data model with proficiency / conceptual understanding of PySpark and SQL scripting. Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse and facilitate Business Intelligence Data Solutions Experience in building reports, dashboards, scorecards visualization using Tableau/ Power BI and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. Responsible for AI/ML model Utilizing machine learning, statistical methods, data mining, forecasting and predictive modeling techniques. Following Dev Ops Model, Agile implementation, CICD method of deployment JIRA creation / management for projects. Define and build technical/data documentation and experience with code version control systems (for e.g., git). Assist owner with periodic evaluation of next generation modernization of platform. Exhibit Leadership Principles such as Accountability Ownership of High Standards: Given the criticality sensitivity of data . Customer Focus : Going Above Beyond in finding innovative solution and product to best serve the business needs and there-by Visa. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Basic Qualifications Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications Bachelor s in engineering, Analytics, Data Science, Computer Science, Statistics or Math required. With 1+ years of software development experience in building large scale data processing platforms. Understanding and familiarity of Datawarehouse concepts including Data Modeling, Data Warehouse structure, OLAP including BI suite of exposure to Data Analysis, Visualization Reporting & Storytelling. 1 or more years of hands-on experience with SQL/Hive/PySpark/Presto for extracting, aggregating & storing data leveraging from Big Data technologies like Hadoop, Spark, Scala, Tez and MapReduce. 1 or more years of hands-on experience in implementing End-to-End Business Intelligence suite, understanding ETL strategy & influencing the data model decisions for reporting. 1 or more years of hands-on experience in OLAP (SSAS - Tabular) & Reporting (Tableau, Power BI, SSRS or any BI etc.. ) with expertise in DAX, SQL scripting or any SQL variant. 1 or more years of hands-on experience on: o Developing sophisticated data visualizations using Tableau, Power BI or other viz tools. o Implementing Out-Of-the-Box capabilities within Tableau/PBI/SSAS using cmd/SDK/APIs. o Implementing build integration, test and deployment automation on above tools. o Implementing ETL layers with understanding E2E Data flow & SCDs concepts. o Scripting languages such as Python & R. Working knowledge in identifying the performance bottleneck in Tableau, Power BI, SSAS and database components. Advice team on appropriate tuning techniques w.r.t SQL & DAX scripting. Good understanding in leading-edge areas such as Machine Learning, Deep Learning, Gen AI and MLOps is a plus. Hand-on experience implementing solutions using NLP, LLM & Predictive Model with understanding on specific area like xgboost, classification, neural networks etc.. is good to have. Working knowledge in Data & BI administration (Yarn, Splunk, Profiler, Perfmon, Security Architecture, User creation & Audit etc) will be an added advantage. Understanding and familiarity of billing system and finance domain preferred.
