Expert Big Data Engineer – Octave: Data and Advanced Analytics Centre of Excellence at John Keels Group,Colombo,Sri Lanka

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  • Post Date: November 19, 2021
  • Apply Before: December 22, 2021
  • Applications 0
  • Views 49
Job Overview

Expert Big Data Engineer , Octave: Data and Advanced Analytics Centre of Excellence

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Role description

Expert Big Data Engineers will lead the development of high performance & high scalability enterprise applications using cloud platforms across SaaS and PaaS. They will working with the tech lead to oversee the data engineering team. In this role, they would oversee numerous use cases at a time, offering expertise and debottlenecking any issues. Their role would also involve diagnosis of existing architecture and data maturity and help the organization in identifying gaps and possible solutions. They will also lead work with senior data scientists and business leadership to develop data pipelines for model development and productionalization. This person will be the key point of contact on data engineering teams.

Key responsibilities
  • Operates under the tech lead to lead the data engineering team
  • Leads data engineering efforts on multiple projects and de-bottlenecks data engineering issues as they arise
  • Is able to communicate complex technical concepts to both technical and non technical audience
  • Lead exploration of suitable options, design, and creation of data pipelines (data lake / data warehouses) for specific analytical solutions
  • Align with tech lead, analytics lead, and senior data scientists to develop realistic project timelines
  • Identify gaps and lead implementation of solutions for data security, quality and automation of processes
  • Work with the tech lead to develop a long-term data management strategy
  • Build and manage cloud data services
Desired Skills / Competencies

Education + Technical  skills / experience

  • Master’s degree in Computer Science, Engineering, Mathematics or Statistics
  • Expertise in SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, Oracle in production environments along with expertise in Python
  • Real-world experience in using Microsoft Azure or other leading cloud platforms
  • Expertise with maintaining and configuring data engineering and ETL tools (e.g., Informatica, Azure Data Factory, SSIS), experience in data warehouses
  • Strong expertise with data tools such as Hive, Spark, Hadoop, or Presto
  • 6+ years of experience of excelling on a data management team

Managerial Skills

  • Demonstrated ability to lead small teams
  • Strong project management and organizational skills
  • Ability to effectively communicate complex analytical and technical content

Mindset & Behavior

  • High energy and passionate individual who is a role model to her/his teammates
  • Excited about trying new solutions outside standard approved
  • Willing to adopt an iterative approach; experimental mindset to drive innovation
Job Detail
  • Offered SalaryNot Specified
  • Career LevelNot Specified
  • ExperienceMore than 5 Years
  • GenderBoth
  • INDUSTRYIT-Software
  • QualificationMaster's Degree(M.Sc.)
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