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Data Engineer - Remote

Posted 217 weeks ago
Software Development
Contract
India

Overview

The Data Engineer will be responsible for creating and maintaining optimal data pipeline architecture, assembling large datasets, and implementing internal process improvements to enhance data delivery and scalability.

In Short

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet business requirements.
  • Identify and implement internal process improvements.
  • Build infrastructure for data extraction, transformation, and loading using SQL and AWS technologies.
  • Develop analytics tools for actionable insights.
  • Collaborate with stakeholders to support data infrastructure needs.
  • Create data tools for analytics to optimize offerings.
  • Work with data experts to enhance data systems functionality.

Requirements

  • Advanced SQL knowledge and experience with relational databases.
  • Experience building and optimizing big data pipelines.
  • Strong analytic skills for unstructured datasets.
  • Experience with data transformation and workload management.
  • Strong project management and organizational skills.
  • Excellent communication skills and customer orientation.
  • Bachelor’s degree in computer science or related field.
  • 3+ years as a Data Engineer.

Benefits

  • Remote working position.
  • Opportunity to work with cutting-edge technologies.
  • Collaborative work environment with cross-functional teams.

P.S

Pull Skil

Pull Skill Technologies India is a forward-thinking technology company specializing in data engineering and analytics solutions. With a focus on creating and maintaining optimal data pipeline architectures, the company aims to empower businesses by providing actionable insights and enhancing operational efficiency. Pull Skill is dedicated to innovation, leveraging advanced technologies such as SQL and AWS to build scalable data infrastructures. The company fosters a collaborative environment, working closely with stakeholders across various teams to address data-related challenges and optimize offerings, making it a leader in the data solutions industry.

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