Particle41
Data Engineer (Elasticsearch + Datawarehousing)
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado3 jul 2026
Países elegibles1 país aceptado
Señal de seniorityMiddle
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
India
Resumen del rol
Data Engineer (Elasticsearch + Datawarehousing)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Data Engineer (Elasticsearch + Data warehousing)
- 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.
Skills and Experience We Value:
- 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.
Roles similares
Mantén una lista de respaldo.
AWS, PostgreSQL 13 países aceptados
Senior Backend Engineer (AdTech)Leap ToolsVer rol AWS, PostgreSQL 13 países aceptados
Senior Backend EngineerLeap ToolsVer rol Java, Python India
Application Security Engineer (Tech Lead)Morgan StanleyVer rol Java, Python India
Application Security Engineer (Senior)Morgan StanleyVer rol Stack
Usa estas tags para comparar roles remotos similares.
Elegibilidad de ubicación
Candidatos deberían aplicar solo cuando el país del perfil aparece aquí.
Tu perfilPaís no definidoInicia sesión para comparar tu país con este rol.
Flujo de contratación
WithMira muestra el rol y luego envía candidatos a la aplicación de la empresa.
1Revisa fit del rol, stack y elegibilidad de ubicación en WithMira.
2Abre la página de aplicación de la empresa desde el link rastreado.
3Guarda el rol o suscríbete a oportunidades similares antes de salir.