Asks for

The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“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.”
The ad says“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.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“ELK stack, Redis, distributed task queues”
The ad says“ELK stack, Redis, distributed task queues”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“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.”
The ad says“Familiarity with version control systems like Git and collaborative development workflows.”
The ad says“Competence in working on Linux OS and creating shell scripts.”
The ad says“Utilities & Tools: logging, requests, subprocess, regex, pytest”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.”
The ad says“Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.”
The ad says“Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Utilities & Tools: logging, requests, subprocess, regex, pytest”
The ad says“Proficiency in Python programming language.”
The ad says“ELK stack, Redis, distributed task queues”
The ad says“Utilities & Tools: logging, requests, subprocess, regex, pytest”
The ad says“Utilities & Tools: logging, requests, subprocess, regex, pytest”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Competence in working on Linux OS and creating shell scripts.”
The ad says“Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.”
The ad says“Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.”
The ad says“Utilities & Tools: logging, requests, subprocess, regex, pytest”

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:

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 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, panda's, 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.

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.

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.