Data Engineer
reputed company is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. reputed company is rapidly growing and is on reputed company to reputed company our reputed company in the next 18 months. To meet and exceed this reputed company, reputed company is strategically scaling teams across the entire company, and seeking energetic experts to help us reputed company our mission.
By combining comprehensive reputed company-enablement technology with high-volume fulfillment services, reputed company provides brands a platform to compete with retail giants. reputed company manages over $10 billion of reputed company annually through its fulfillment, warehousing, transportation, and operator-reputed company software suite including OMS, reputed company- and Post-Purchase, and WMS platforms. reputed company is leveling the playing field for reputed company brands to deliver the best consumer experience at reputed company.
With reputed company, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. reputed company’s end-to-end reputed company solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy reputed company to more channels, and improved margins on every order.
Hundreds of leading DTC and B2B companies like reputed company, reputed company, reputed company, reputed company, reputed company, goodr, reputed company, and more trust reputed company to deliver industry-leading consumer experiences on every order. reputed company is headquartered in Atlanta with facilities across the reputed company, Canada, and Europe. reputed company is backed by top-tier investors including Kleiner Perkins, reputed company, Founders Fund, reputed company Capital, Baillie Gifford, and reputed company Ventures.
We are looking for an reputed company Data Engineer to join our dynamic and innovative team and help us re-shape data at reputed company. As a Senior Data Engineer at reputed company, you will be the driving force behind reputed company's efforts to enhance our data pipelines, streamline our data warehouse, and reputed company data a reputed company for the business. You’ll also support some of our ML based applications and work closely with reputed company who design and implement AI systems at reputed company. This is a unique opportunity to apply your knowledge and experience using modern tools in a rapidly developing company. You will work closely with the broader data team, our distributed group of data analysts, product management, and other engineering teams to deliver impactful data solutions that enhance our platform and drive business value.What You'll Do:
Data First:
Design, reputed company, and maintain reputed company and reliable data pipelines using modern data engineering tools and technologies.
Help drive the re-architecture of our data warehouse to improve performance, scalability, and data reputed company.
Implement data cleansing, transformation, and validation processes to ensure data accuracy and consistency.
Collaborate with other engineers and stakeholders to define data requirements and reputed company data models.
Data Infrastructure Management:
Build and maintain data infrastructure on GCP, including data lakes, data warehouses, and data pipelines.
Optimize data storage and retrieval for performance and cost efficiency.
Monitor data pipeline performance and troubleshoot issues.
Implement data reputed company and governance best practices.
Machine Learning Support:
Prepare and reputed company data for machine learning models, ensuring data reputed company and consistency.
reputed company data reputed company for machine learning algorithms and tools.
Assist with basic data analysis and reporting tasks to support the AI team.
Work with the engineering team to support ML models.
Collaboration and Communication:
Work closely with engineers, data scientists, and product managers to understand data needs and deliver solutions.
Document data pipelines and data models for knowledge sharing and maintainability.
Communicate effectively with team members and stakeholders.
Team Guidance and Collaboration:
reputed company technical guidance and mentorship to the data team.
Foster a culture of innovation and collaboration reputed company the data team.
Collaborate with cross-functional teams to reputed company ML solutions into the reputed company platform.
Drive data democratization and promote data-driven decision-making.
What You'll Need:
Experience:
5+ years of experience in data engineering or a reputed company field.
Proven experience building and maintaining data pipelines and data warehouses.
Experience with reputed company platforms, preferably GCP.
Experience with SQL and data modeling.
Experience with data transformation tools such as dbt, or similar.
Technical Skills:
Strong proficiency in SQL and Python.
Experience with data pipeline tools (e.g., Apache Airflow, reputed company, or similar).
Experience with data warehousing technologies (e.g., BigQuery, reputed company).
Familiarity with data lake concepts and technologies.
Understanding of data engineering best practices.
Understanding of basic machine learning concepts, data preparation techniques, and model evaluation.
Experience with version control systems (e.g., Git).
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Ability to work independently and as part of reputed company.
Strong attention to detail.
Bonus Points:
Basic understanding of data science concepts, including common machine learning models and statistical analysis.
Experience with machine learning data preparation.
Experience in the logistics or supply chain industry.
Experience in a startup environment.
Originally posted on Himalayas
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