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Lead, Data Engineer

5.00 to 10.00 Years   Mumbai City   14 Nov, 2021
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software,Sales / BD
EmploymentTypeFull-time

Job Description

  • Work with stakeholders including the Executive, Product, Data, analytics and Design teams to assist with data-related technical issues and support their data infrastructure needs and strive for greater functionality in our data systems.
  • Support the data pipeline flow for machine learning and advanced analytics solutions with the aim of improving yields from the business and enable improved customer experience.
  • Make the data products production-ready and deployable for use of internal customers.
  • Conducting functional and non-functional testing on large scale data platforms like unit testing, integrations testing, system testing, performance testing and volume testing.
  • Handling incident and exception management and building robust data pipelines.
  • Provide recommendations for data improvement, quality, and efficiency of data.
  • Ensure and support the data architecture utilized by business, data scientists and analysts.
  • Development of data processes for data modelling, mining, and data production.
  • Design and implement backup and recovery strategy
Our Ideal Candidate
  • Good verbal and written communication skills
  • Strong analytical and problem solving and ability to prioritize and organize multiple task
  • Self-managing and ability to lead project solution end-to-end.
  • Ability to learn and adapt to new technologies and frameworks
  • Good programming & debugging skills with Code Quality measures
  • Ability to handle raw and unstructured data.
  • Good understanding of software development life cycle using Agile/Waterfall models & Process adherence
  • Understanding of Coding standards, Design patterns and guidelines. Understanding on source control, versioning, branching etc.
  • Database - strong RDBMS skills around writing efficient SQL s and complex procedures.
  • Knowledge/hands-on, Big Data Toolset such as Hadoop, HDFS, HIVE, KAFKA, SPARK, Bash Scripting, & Any reporting tools like (Tableau, Dataiku, Alteryx, Paxata, MSTR, SAS & Dremio, SRE knowledge)
  • Familiar with Enterprise Data Warehouse and Reference Data Management is a plus
  • Familiar with Control M, Airflow
  • Familiar with ETL process, Hadoop
  • Familiar with Spark, Data API, MLP
  • Familiar in SQL scripting, VB scripting and Python
  • Familiar with Pyspark
  • Familiar with Unix / Linux and batch scripting is a plus
  • Familiar with Cloud
  • Familiar with DevOps
  • To develop and execute the Automation Framework especially complimenting Data Warehouse domain
  • Familiar with Performance Testing (e.g. volume testing) and Disaster Recovery Testing is a plus
  • Familiar with JIRA and Confluence
,

Keyskills :
sqljavadata warehousinginformaticapythonsoftware development life cyclebig datacontrol mlife cycleunit testingdata modelingsql scriptingreference data

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