Data Consultant

Particle
41 is seeking a talented and versatile Data Consultant to join our innovative team. As a Data Consultant, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end‑to‑end data solutions, collaborating with cross‑functional teams to ensure high‑quality, scalable, and efficient data delivery.

• 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, to ensure efficient data retrieval and processing.
• Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis.
• Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes.
• Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows.
• Collaborate with product managers and other stakeholders to gather requirements and translate them into technical solutions.
• Participate in requirement analysis sessions to understand business needs and user requirements.
• Provide technical insights and recommendations during the requirements‑gathering process.
• Participate in Agile development processes, including sprint planning, daily stand‑ups, and sprint reviews.
• Work closely with Agile teams to deliver software solutions on time and within scope.
• Adapt to changing priorities and requirements in a fast‑paced Agile environment.
• Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications.
• Write unit tests and validate the functionality of developed features and individual elements.
• Write integration tests to ensure different elements within an application function as intended.
• Identify and resolve software defects, code smells, and performance bottlenecks.
• Stay updated with the latest technologies and trends in full‑stack development and data engineering.
• Propose innovative solutions to improve performance, security, scalability, and maintainability of applications.
• Continuously seek opportunities to optimize and refactor existing codebases for better efficiency.
• Stay up‑to‑date with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Collaborate effectively with cross‑functional teams, including testers and product managers.
• Foster a collaborative and inclusive work environment where ideas are shared and valued.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer, with over 3 years of experience.
• Proficiency in Python programming language.
• Experience with database technologies such as SQL (e.g., MySQL, Postgre
  
  SQL) and No
  
  SQL (e.g., Mongo
  
  DB) databases.
• Strong understanding of programming libraries/frameworks and technologies such as Flask, API frameworks, data warehousing/lakehouse, principles, database and ORM, data analysis, Databricks, pandas, Spark, PySpark, machine learning, OpenCV, scikit-learn.
• Utilities & Tools: logging, requests, subprocess, regex, pytest.
• ELK stack, Redis, distributed task queues.
• Strong understanding of data warehousing/lake housing principles and concurrent/parallel processing concepts.
• Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers.
• Familiarity with version control systems like Git and collaborative development workflows.
• Competence in working on Linux OS and creating shell scripts.
• Solid understanding of software engineering principles, design patterns, and best practices.
• Excellent problem‑solving and analytical skills, with a keen attention to detail.
• Effective communication skills, both written and verbal, and the ability to collaborate in a team environment.
• Adaptability and willingness to learn new technologies and tools as needed.

Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we…