About the role
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Description:
Responsibilities Work on the collecting, storing, processing, and analysing of large sets of data Choose optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them Responsible for integrating those solutions with the architecture used across the company and to help build out some core services that power Machine Learning and analytics systems Role Requirements Lead and work closely with all teams (including virtual teams based in non UK locations), creating a strong culture of transparency and collaboration Ability to process and rationalise structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application Strong knowledge of the Big Data eco system, experience with Hortonworks/Cloudera platforms Strong self-starter with strong technical skills who enjoys the challenge of delivering change within tight deadlines
"Knowledge of one or more of the following domains (including market data vendors): • Party/Client • Trade • Settlements • Payments • Instrument and pricing • Market and/or Credit Risk" • Practical expertise in developing applications and using querying tools on top of Hive, Spark (PySpark) • Strong Scala skills • Experience in Python, particularly the Anaconda environment and Python based ML model deployment • Experience of Continuous Integration/Continuous Deployment (Jenkins/Hudson/Ansible) • Experience in working in Teams using the Agile Methods (SCRUM) and Confluence/JIRA • Good communication skills (written and spoken), ability to engage with different stakeholders and to synthesise different opinions and priorities • Knowledge of at least one Python web framework (preferably: Flask, Tornado, and/or twisted) • Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 would be a plus • Good understanding of global markets, markets macrostructure and macro economics • Knowledge of Elastic Search Stack (ELK) • Experience with Google Cloud Platform (Data Proc / Dataflow) • Experience processing and rationalising structured data, message data and semi/unstructured data and integrating multiple large data sources and databases into one system • Knowledge of distributed computing principles and of the fundamental design principles behind a scalable application "• Experience using: o Hortonworks/Cloudera platforms o HDFS o Querying tools on top of Hive, Spark (PySpark) o Scala o Python, particularly the Anaconda environment o GIT/GITLAB as a version control system" • Good communication skills (written and spoken), ability to engage with different stakeholders and to synthesise different opinions and priorities • Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle