Data Engineer (Elasticsearch + Datawarehousing)

particle41llcยท Data Engineering
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๐ŸŒ Remote๐Ÿ“ India - Remote

About this role

Data Engineer (Elasticsearch + Data warehousing)

Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, 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. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment.

In This Role, You Will:

Software Development

  • Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.
  • Build and manage Elasticsearch indexes, ensuring data is stored, indexed, and queried efficiently.
  • Build and optimize data storage solutions like data lakes and warehouses.
  • 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.

Requirements Gathering and Analysis

  • 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.

Agile Development

  • 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.

Testing and Debugging

  • 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.
  • Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements.
  • Identify and resolve software defects, code smells, and performance bottlenecks.

Continuous Learning and Innovation

  • Stay updated with the latest technologies and trends in full-stack development.
  • Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications.
  • Continuously seek opportunities to optimize and refactor existing codebase for better efficiency.
  • Stay up-to-date with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Collaboration

  • Collaborate effectively with cross-functional teams, including testers, and product managers.
  • Foster a collaborative and inclusive work environment where ideas are shared and valued.

Skills and Experience We Value:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer, with a minimum of 3 years of experience.
  • Proficiency in Elasticsearch and Python programming language is a must.
  • Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.
  • Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, Data warehousing/lakehouse, Principles, Database, ORM, Data analysis, Databricks, Pandas, Spark, PySpark, Machine learning, OpenCV, Scikit-learn.
  • Utilize Java to build and enhance backend systems, particularly for integration with Elasticsearch and databases.
  • Develop APIs, microservices, and automation scripts as needed.
  • Utilities & Tools: logging, requests, subprocess, regex, pytest
  • ELK stack, Redis, distributed task queues
  • Strong understanding of data warehousing/lakehousing 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.

About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

  • E - Empowering: Enabling individuals to reach their full potential.
  • L - Leadership: Taking initiative and guiding each other toward success.
  • I - Innovation: Embracing creativity and new ideas to stay ahead.
  • T - Teamwork: Collaborating with empathy to achieve common goals.
  • E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.ย 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.

Frequently Asked Questions

Is the salary disclosed for the Data Engineer (Elasticsearch + Datawarehousing) position at particle41llc?
The salary for this Data Engineer (Elasticsearch + Datawarehousing) role at particle41llc is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Data Engineer (Elasticsearch + Datawarehousing) job at particle41llc remote?
Yes, this Data Engineer (Elasticsearch + Datawarehousing) position at particle41llc is remote, with team members based in India - Remote. You can work from home or anywhere in the supported regions.
Which team or department does the Data Engineer (Elasticsearch + Datawarehousing) at particle41llc belong to?
This Data Engineer (Elasticsearch + Datawarehousing) position is part of the Data Engineering department at particle41llc. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer (Elasticsearch + Datawarehousing) position at particle41llc?
Click the "Apply Now" button on this page. You will be redirected to particle41llc's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Engineer (Elasticsearch + Datawarehousing) job at particle41llc posted?
This Data Engineer (Elasticsearch + Datawarehousing) position at particle41llc was posted on Mar 7, 2025. Apply as soon as possible โ€” early applications are often reviewed first.
Data Engineer (Elasticsearch + Datawarehousing)
particle41llc
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