Data Engineer Leader for Global Data Lake and Analytics

3 hours ago


Remote, Czech Republic ALM Services Technology Group Full time

We are seeking an experienced Data Engineer to lead our team in developing and implementing a next-generation global data lake and analytics platform.

Company Overview

ALM Services Technology Group is a innovative company that develops end-to-end web and mobile solutions. We work closely with customers to create the best possible environment of work for our people, engage in innovative projects, and help to strengthen and develop new competences.

Job Description

The successful candidate will be responsible for leading the development of data pipelines to load and manipulate data onto the data lake, optimizing data architecture for consumption, utilization, and analytics with data on Hadoop, including for data science, machine learning, and statistical use cases.

Responsibilities

  • Design and deliver data models that power BI initiatives, dashboards, syndicated reporting, and ad-hoc data exploratory canvases for IQVIA solutions
  • Work with data architects on logical data models and physical database designs optimized for performance, availability, and reliability
  • Tune and optimize backend and frontend data operations
  • Serve as a query tuning and optimization technical expert, providing feedback to the team
  • Design and develop ETL and master data management processes
  • Scripting and automation to support development, QA, and production database environments and deployments to production
  • Define and help enforce data governance and security policy
  • Mentor development team members
  • Proactively help to resolve difficult technical issues
  • Provide technical knowledge to teams during project discovery and architecture phases
  • Keep management informed of work activities and schedules
  • Assess new initiatives to determine the work effort and estimate the necessary time-to-completion
  • Document new development, procedures, or test plans as needed
  • Participate in data builds and deployment efforts
  • Help mature our Continuous Integration and Continuous Deployment methodologies
  • Participate in projects through various phases
  • Perform other related duties as assigned
  • Partner with business units to develop effective solutions that solve business challenges
  • Should be able to lead small teams of Big Data engineers and manage them

Requirements

  • Hadoop
  • Hive
  • Scala
  • Spark
  • SQL
  • ETL
  • Linux
  • DevOps
  • RDBMS Tools: Agile, Scrum
  • Additionally: Private healthcare, Flat structure, Small teams, International projects, Salary in foreign currency, Workation, Flexible hours, Certificates


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