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Particle41

Provides expert application, DevOps, ML teams

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • A bachelor's degree in computer science, Engineering, or a related field.
  • At least 3 years of experience as a Data Engineer.
  • Proficiency in Python.
  • Experience with SQL and NoSQL database technologies, including MySQL, PostgreSQL, and MongoDB.
  • Understanding of programming libraries and frameworks, including Flask and API frameworks; data warehousing and lakehouse principles; databases and object-relational mapping; Databricks; pandas; Spark; PySpark; machine learning; OpenCV; and scikit-learn.
  • Experience with logging, requests, subprocess, regular expressions, and pytest.
  • Experience with the ELK stack, Redis, and distributed task queues.
  • Understanding of concurrent and parallel processing concepts.
  • Familiarity with at least one cloud data engineering stack, such as Azure, AWS, or Google Cloud Platform, and ability to learn ETL/ELT tools across cloud providers.
  • Familiarity with Git and collaborative development workflows.
  • Competence working on Linux and creating shell scripts.
  • Understanding of software engineering principles, design patterns, and best practices.
  • Problem-solving and analytical skills, with attention to detail.
  • Written and verbal communication skills and ability to collaborate in a team environment.
  • Adaptability and willingness to learn new technologies and tools.

Responsibilities

  • Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources.
  • Build and optimize data storage solutions, such as data lakes and data warehouses, for efficient data retrieval and processing.
  • Integrate structured and unstructured data from internal and external systems to create a unified view for analysis.
  • Validate, cleanse, and transform data to ensure its accuracy, consistency, and completeness.
  • Document data processes, tools, and systems, and promote efficient workflow best practices.
  • Collaborate with product managers and other stakeholders to gather requirements and translate them into technical solutions.
  • Participate in requirement analysis sessions to understand business and user requirements, and provide technical insights and recommendations.
  • Participate in Agile processes, including sprint planning, daily stand-ups, and sprint reviews.
  • Work with Agile teams to deliver software solutions on time and within scope, adapting to changing priorities and requirements.
  • Test and debug applications to ensure reliability, security, and performance.
  • Write unit tests and validate developed features and individual elements.
  • Write integration tests to ensure application elements work as intended and meet requirements.
  • Identify and resolve software defects, code smells, and performance bottlenecks.
  • Stay up to date with technologies and trends in full-stack development and cloud platforms, including AWS, Azure, and Google Cloud Platform.
  • Propose solutions to improve application performance, security, scalability, and maintainability.
  • Optimize and refactor existing code for efficiency.
  • Collaborate with cross-functional teams, including testers and product managers.

About the Company

Particle41

Provides expert application, DevOps, ML teams

Particle41 builds expert teams across software development, DevOps, and machine learning to strengthen a client’s capabilities. It assembles cross-functional teams that integrate into client projects, guiding work with clear communication and predictable timelines to drive fast progress. The service emphasizes specialized, high-caliber teams that augment the client’s own capabilities with speed, transparency, and forward planning. Its goal is to amplify a client’s business by delivering dependable teams that advance critical development, operations, and ML initiatives.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Frisco, TX
Founded
2015

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