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Big Data Engineer

5.00 to 10.00 Years   Mumbai City   28 Apr, 2022
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    we are looking for someone who can: build the next generation platform using the latest Cloud-based technology contribute to the end-2-end software development lifecycle establish engineering excellency across our all our products and processes challenge the status quo, innovate, and build great software continue learning, build engineering communities, become ambassadors of innovation drive culture of build once use manyYour teamYou ll be working in the Data services- Reference data Transformation team who are driving innovation and reengineering. Youll play an important role in seeing our transition to Cloud technologies, simplification of IT landscape and improvement in our business operating model. Our culture centres on partnership with our businesses, transparency, accountability and empowerment, and passion for the futureDiversity helps us grow, together. That s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients., Hands on experience with at least two of the following technologies: Python, Scala, Java Experience and interest in Cloud platforms such as Azure (preferred) or AWS Experience in Distributed Processing using Databricks (preferred) or Apache Spark Ability to debug using tools like Ganglia UI, expertise in Optimizing Spark Jobs The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets Expert in creating data structures optimized for storage and various query patterns for e.g. Parquet and Delta Lake Meaningful experience in at least one database technology such as:- Traditional RDBMS (MS SQL Server, Oracle)- NoSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin) Understanding of Information Security principles to ensure compliant handling and management of data Experience in traditional data warehousing / ETL tools (Informatica, Azure Data factory) Ability to clearly communicate complex solutions Proficient at working with large and complex code bases (Github, Gitflow, Fork/Pull Model) Working experience in Agile methodologies (SCRUM, XP, Kanban)

Keyskills :
javahivebig datahadoopapache webserveretl toolssql serverreference datadata structuresdata warehousingunstructured data

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