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JavaScript Development Team Lead

Armenia, Kazakhstan, Uzbekistan, Georgia
JavaScript, Java, Scala, SQL Databases, Angular, Python, Leadership
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Sorry, this position is no longer available

Currently, we are looking for a remote JavaScript Development Team Lead for a Retail Company

Responsibilities
  • Leading the development of innovative and scalable Data Engineering solutions using tools like dbt analytics, python, airflow, gcp, aws, bigquery, docker, gitlab, terraform etc
  • Assemble large, complex data sets that meet functional / nonfunctional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud ‘big data’ technologies
  • Collaborate with software engineers, data scientists, data analysts, business SME’s and product managers to understand data needs
  • Design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries
  • Support existing processes running in production and implement optimised solutions with limited guidance
  • Coach more junior Data Engineers and provide inspiration, support and technical guidance for wider teams
  • Define and manage Service-Level Objectives (SLO), Service-Level Agreements (SLA) and Service-Level Indicators (SLI) for data sets in allocated areas of ownership
Requirements
  • 6+ years of experience as JavaScript Developer
  • 2+ years of leadership experience
  • 3+ years’ experience in a Data Engineering role
  • 3+ years working experience working with cloud architecture and data tools
  • Highly proficient coding skills using languages like Scala or Python or Java
  • 3+ years’ advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • 3+ years’ working experience building and optimizing ‘big data’ data pipelines using tools like DBT, Airflow or Luigi
  • 3+ years’ working experience developing and maintaining data warehouses; schema design and dimensional data modelling
  • Proven experience in the Software Delivery Lifecycle and CI/CD toolsets
  • A strong understanding of API applications with 2+ years of experience building backend APIs
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Proven ability to lead small teams in technical assignments
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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