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Senior Manager - Senior Data Engineer

10.00 to 0.00 Years   Mumbai City   26 Oct, 2021
Standard Chartered Bank Ltd
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

*About Standard Chartered We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East. To us, good performance is about much more than turning a profit. Its about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good. Were committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.The Role Responsibilities

  • Lead in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
  • Analyse source data systems and drive best practices in source teams
  • Implement data ingestion routines both real time and batch using best practices in data modelling, ETL/ELT processes
  • Gather business and functional requirements and translate these requirements into robust, scalable and operable solutions that work well within the overall data architecture
  • Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools.
  • Building large database models for Balance Sheet, PNL, Cost analytics and related ratios
  • Using Dataiku ETL tool to develop real time and batch data processes feeding into in-Memory data infrastructure using Apache Arrow
  • To design data reflection optimization using partitions, sorting and virtualized views accelerate query times by reducing query planning and reading times within Dremio data infrastructure
  • Using query job analytics to analyse BI query plans to optimise query times down to 1sec irrespective of the size of the underlying data set
  • Mentor junior data engineers
Our Ideal Candidate
  • Minimum 10 years of relevant experience in the design, creation, management, and business use of extremely large datasets.
  • Extensive experience in the full data project life cycles around large-scale, high-volume and high-performance data structures for analytics and deep learning
  • Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions.
  • Strong academic record at bachelor or master s degree level in business, economics, finance from a well-recognized institution
  • Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
  • Advanced knowledge of data cleaning, validation, and related tools
  • Advanced Python scripting and data wrangling development skills
  • Strong computing system skills (POSIX, CLI, basic shell scripting, version control systems, etc.)
  • Experience in signal processing and other related applied engineering fields a plus
  • Excellent communication and interpersonal skills, comfortable working with colleagues from different time zones and cultures.
Apply now to join the Bank for those with big career ambitions. To view information on our benefits including our flexible working please visit our career pages . We welcome conversations on flexible working.,

Keyskills :
content managementemailsqlanalyticsapacheetl toollife cyclemail sortingdata modelingbalance sheetdata cleaningdata wranglingshell scripting

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