Posted today · be early
Data Engineer (Elasticsearch + Datawarehousing)
Particle41
IndiaremotePosted 1 day ago
Skill Required
Data-EngineeringData-WarehouseETL-DevelopmentBig-DataSoftware-EngineerData-Pipeline-EngineeringElasticsearch-Data-EngineerData-Warehouse-EngineerETL-Data-EngineerData-EngineerElasticsearch-EngineerEnterprise-Data-EngineerData EngineerElasticsearchsoftware engineeringMachine LearningData Warehousingdata engineeringDesign Patternsrelated fieldMicroservicesScikit-learnGCPEngineeringR ProgrammingDatabricksPostgreSQLanalyticalautomationdesigningdebuggingMongoDBsecuritybuildingwrittenSparkTestNGPythonFulltime
Key highlights
- Data Engineer role focused on Elasticsearch and data warehousing
- Minimum 3 years of professional Data Engineer experience is required
- Proficiency in Elasticsearch and Python is an explicit mandatory requirement
- Role involves end-to-end data solution development with cross-functional team collaboration
- Particle41's culture is guided by its ELITE core values: Empowering, Leadership, Innovation, Teamwork, Excellence
- Particle41 is an equal opportunity employer with non-discriminatory hiring and employment practices
Role overview
Particle41 is seeking a talented and versatile Data Engineer to join its 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.
Responsibilities
- 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
- 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 a given application function as intended and meet desired requirements
- Identify and resolve software defects, code smells, and performance bottlenecks
- 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 updated with the latest technologies and trends in full-stack development
- 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
- Utilize Java to build and enhance backend systems, particularly for integration with Elasticsearch and databases
- Develop APIs, microservices, and automation scripts as needed
Requirements
- 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
- 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
Nice to have
- Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, Data warehousing/lakehouse principles, ORM, Data analysis, Databricks, Pandas, Spark, PySpark, Machine learning, OpenCV, Scikit-learn
- Proficiency in Java to build and enhance backend systems, particularly for integration with Elasticsearch and databases
- Experience developing APIs, microservices, and automation scripts
- Proficiency with utilities and tools including logging, requests, subprocess, regex, and pytest
- Experience with the ELK stack, Redis, and distributed task queues
- Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts
Additional details
- Particle41's core values of Empowering, Leadership, Innovation, Teamwork, and Excellence (ELITE) drive everything the company does: 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)
- The company seeks team members who embody these ELITE values and are committed to contributing to its mission
- Particle41 provides 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
- This role was originally posted on the Himalayas job platform
- Applicants from the specified regions are encouraged to apply, and assistance is available during the application or interview process upon request