Position : Senior Big Data Engineer, Location : Chennai Experience : 8+ years  Project Description : We require a Senior Big Data Engineer to work on the projects for managing analytics support for all the key initiatives of all segments/products of Retail Banking. Responsibilities : • Ensuring quality service output, submitted in a timely manner and communicated effectively • Continuous Improvement in Productivity to the standards prescribed from time to time • Manage data & information support for all the key initiatives across Retail Bank supporting countries & group teams. • Work closely with technology on solutions to resolve identified production issues which are impacting existing infrastructure /solution covering data quality, data assurance, refresh timeliness, data security governance • To work closely with Business & Technology to review the integration of new functionality / technology implementation projects initiated • Extend analytics support spanning across entire gamut of business (Customer Acquisition, Portfolio Management, New Product Development) • Manage analysis & reporting across all Retail products/segments • Interact with metrics owners across various functions and get end to end understanding of the metrics and applicability of the same across various MI dashboards • Provide development opportunities through regular engagement, ensuring that all staff is aware of the opportunities available in order to help them succeed within their role • Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Skills Must have : • 8+ years of relevant technology experience • Java / Scala programming experience • Strong analytic skills related to working with unstructured datasets. • Hands on Hadoop and Bigdata tech. e.g. HIVE, HBase, Kafka, Spark • Strong experience on SQL • Good Experience on Data Base & Data Ware house 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.