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Data Engineer: Merchant Intelligence Agent at Constructor

Data Engineer: Merchant Intelligence Agent

Constructor

United States of Americamid17 hours ago

Full Timeremote1-3Years
$80,000 - $120,000/year

1 applied

Job Description

Join our dynamic team as a Data Engineer: Merchant Intelligence Agent, where you'll play a crucial role in transforming data into actionable insights. Your expertise will empower e-commerce brands to enhance their strategies and boost revenue. We’re seeking passionate individuals who thrive in a fast-paced environment and are eager to make a significant impact in the industry. In this role, you'll dive deep into our tech stack, utilizing PySpark , Databricks , and Python to build robust data pipelines and ensure high-quality data management. Daily tasks will involve real-time analytics , pipeline monitoring , and data modeling using tools like dbt and AWS . You will also leverage pandas , NumPy , and ClickHouse for data manipulation and A/B testing to optimize performance, while maintaining a strong focus on data quality and engineering excellence. Collaborate with a talented team of data enthusiasts who are committed to innovation and growth. This role offers exciting opportunities for professional development and learning from industry leaders, ensuring you’re always at the forefront of data engineering advancements. What sets this role apart? You'll be at the intersection of technology and e-commerce, driving insights that help shape the future of retail and customer experience. If you’re ready to take on this thrilling challenge, we can’t wait to meet you!

Responsibilities

Design robust batch pipelines using PySpark and Databricks for seamless data integration. Build real-time analytics solutions that empower decision-making with accurate data insights. Lead the development of data models that capture shopper behavior and trends effectively. Architect data cubes to enhance dashboard analytics and deliver actionable agent insights. Drive data quality initiatives ensuring accuracy and reliability across all datasets. Monitor and optimize pipeline performance to ensure efficient data flow and processing. Utilize A/B testing methodologies to validate data-driven strategies and improve outcomes. Collaborate with cross-functional teams to shape data for various business roles.

Key Skills

SQL
15%
Python
15%
PySpark
15%
Dbt
10%
Databricks
10%

Benefits

Attractive compensation package with comprehensive health benefits to support your well-being. Flexible health plans that adapt to your needs, ensuring peace of mind for you and your family. Generous work-life balance with remote work options to enhance productivity and personal time. Support for mental health initiatives, including wellness days and resources for employees. Continuous professional development opportunities to elevate your skills and career growth. Access to workshops, training, and certifications in cutting-edge technologies and methodologies. Inclusive company culture that fosters collaboration, innovation, and team spirit. Fun perks like team outings, game nights, and wellness activities to enhance workplace camaraderie.

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