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Engaged Employer

Particle41

Compare

4.4

based on 14 Reviews

20 Particle41 Jobs

Data Engineer

PARTICLE41 INDIA LLP

4.4

based on 14 Reviews

3-8 years

Remote

1 vacancy

Data Engineer

Particle41

posted 7d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Machine Learning Linux Administration MySQL

+ 3 more

Job Description

Data Engineer

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, 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.

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:

Bachelors degree in Computer Science, Engineering, or related field.
Proven experience as a Data Engineer, with a minimum of 3 years of experience.
Proficiency in Python programming language.
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, datawarehousing/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/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.