Data Architect
2 days ago
At Luxoft, we are engaged by a leading UK-based investment bank to work on projects for managing analytics support across various segments and products.
Key Responsibilities:
- To ensure quality service output is submitted in a timely manner and communicated effectively
- To continuously improve productivity to meet prescribed standards
- To manage data and information support for key initiatives across retail banks supporting countries and group teams
- To collaborate with technology teams to resolve production issues impacting existing infrastructure or solutions covering data quality, assurance, refresh timeliness, and security governance
- To work closely with business and technology teams to review integration of new functionality and technology implementation projects
- To provide analytics support spanning across entire gamuts of business including customer acquisition, portfolio management, and new product development
- To manage analysis and reporting across all retail products and segments
- To interact with metrics owners across various functions to gain end-to-end understanding of metrics and their applicability across MI dashboards
- To create and maintain optimal data pipeline architecture and assemble large, complex data sets meeting functional and non-functional business requirements
- To identify, design, and implement internal process improvements automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
Requirements:
- 6+ years of relevant technology experience
- Java/Scala programming experience
- Strong analytic skills related to working with unstructured datasets
- Hands-on Hadoop and Big Data tech. e.g. HIVE, HBase, Kafka, Spark
- Strong experience with SQL
- Good experience with Database and Data Warehouse building and management
- Exposure to data pipelines, architectures, and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
Estimated Salary: £80,000 - £110,000 per annum (dependent on location and experience)
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