Company Overview:

MERNPLUS is a rapidly growing technology company specializing in providing cutting-edge data solutions to businesses across various sectors. We empower organizations to unlock the full potential of their data through innovative data warehousing, ETL processes, and advanced analytics. Our expertise lies in building robust and scalable data pipelines, enabling data-driven decision-making for our clients.

Role Overview:

As a Junior Data Engineer at MERNPLUS, you will play a crucial role in building and maintaining our data infrastructure. You will work closely with senior data engineers, data scientists, and business analysts to design, develop, and implement ETL pipelines, data warehouses, and data integration solutions. Your work will directly impact the efficiency and accuracy of data-driven insights, enabling our clients to make informed business decisions and gain a competitive edge.

Key Responsibilities:

- Develop and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse, ensuring data quality and consistency.

- Design and implement data models for our data warehouse, optimizing for performance and scalability to support analytical queries.

- Collaborate with data scientists and business analysts to understand their data requirements and provide them with the necessary data infrastructure and tools.

- Monitor and troubleshoot data pipelines, identifying and resolving issues to ensure data availability and reliability.

- Automate data-related tasks using scripting languages like Python and Shell Scripting, improving efficiency and reducing manual effort.

- Contribute to the development and maintenance of our data infrastructure on AWS, ensuring security, scalability, and cost-effectiveness.

Required Skillset:

- Demonstrated ability to write efficient and maintainable code in Python for data manipulation and automation.

- Proven ability to write and optimize SQL queries for data extraction, transformation, and loading.

- Experience in designing and implementing ETL processes and data warehousing solutions.

- Familiarity with data modeling concepts and techniques.

- Working knowledge of Linux operating systems and shell scripting.

- Exposure to cloud platforms like AWS and related services.

- Strong analytical and problem-solving skills with the ability to work independently and as part of a team.

- Excellent communication and collaboration skills to effectively interact with stakeholders.

- Bachelor's degree in Computer Science, Engineering, or a related field.