Middle Data Engineer (MongoDB)

at  Distillery

ABOUT DISTILLERY

Distillery Tech is committed to diversity and inclusion. We actively seek to cultivate a workforce that reflects the rich tapestry of perspectives, backgrounds, and experiences present in our society. In our recruitment efforts, we are dedicated to promoting equal opportunities for all candidates, regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity.
Distillery accelerates innovation through an unyielding approach to nearshore software development. The world’s most innovative technology teams choose Distillery to help accelerate strategic innovation, fill a pressing technology gap, and hit mission-critical deadlines. We support essential applications, mobile apps, websites, and eCommerce platforms through the placement of senior, strategic technical leaders and by deploying fully managed technology teams that work intimately alongside our client’s in-house development teams. At Distillery, we’re not here to reinvent nearshore software development; we’re on a mission to perfect it.

REQUIREMENTS

• Extensive experience in developing and optimizing MongoDB aggregation pipelines, with a deep understanding of MongoDB’s Aggregation Framework.
• Strong knowledge of MongoDB stages (e.g., $match, $group, $project, $sort) and their application in data transformation and analysis.
• Proficiency in JavaScript or Node.js.
• Experience in cleaning and preparing data for analysis in Tableau, including the use of aggregation pipelines for data transformation.
• Familiarity with MongoDB features, architecture, and performance tuning techniques, including query optimization and indexing strategies.
• Demonstrated experience in manipulating and transforming JSON data.
• Proven ability to debug and troubleshoot issues with aggregation pipelines.
• Highly organized with a keen attention to detail and strong follow-through skills.
• Ability to work effectively in a team environment and adapt to new technologies.

• Design and implement MongoDB aggregation pipelines using stages such as $match, $group, $project, and $sort to transform and analyze complex datasets.
• Clean and prepare data for analysis in Tableau by creating aggregation pipelines that perform data cleaning, filtering, and transformation.
• Identify and resolve performance bottlenecks in MongoDB by optimizing queries, implementing effective indexing strategies, and applying best practices for performance tuning.
• Proficiently debug and troubleshoot issues within aggregation pipelines to ensure smooth and reliable data processing.
• Handle and transform JSON data to meet specific analytical and reporting requirements.
• Document your work and adhere to MongoDB best practices and architectural guidelines to ensure maintainable and sustainable solutions.