Role Summary & Role Description
The lead is responsible for providing strong tech design and implementation platform for the Market Data Hub (MDH), and will be responsible for End to End delivery of the project, ensuring the strategy supports the current and future business needs.
Core/Must have skills
Overall 17 plus years of experience in a Technology implementation and leadership role using Java / scala/ spark/ databricks and related Technologies is a must. Proficiency in Application architecture, Engineering practices & Big data implementations. Should be able to develop, maintain, and optimize data pipelines and workflows using Databricks. Strong engineering skills, including knowledge of languages such as Java and Scala (Apache Spark, Kafka). Understanding of Data Management tools, to mine data, data masking techniques, automate test data generation for test execution. Strong understanding of data pipeline (extract, transform and load) processes and the supporting technologies such as Oracle PL/SQL, Unix Shell Scripting, Python, Hadoop Spark & Scala, Databricks, AWS etc. Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalization, OLAP / OLTP principles and entity relationship analysis Experience of creating and implementing data strategies that align with business objectives. Experience in creating design documents and translate the specifications to developers. Excellent communication and presentational skills. Ability to work to deadlines in a fast paced environment. Ability to take ownership and initiative
Good to have skills
Experience working in a geographically spread out team Strong Leadership & Client Facing Skills Excellent communication skills both verbal and written Results-oriented: Tenacious, gets things done, should know how to approach the problem statement and identify solutions Knowledge in Market and reference Data domain is added advantage
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