The Sleep Company is hiring Data Engineer role

Overview

About Us: As India's fastest-growing D2C brand, we are at the forefront of innovation and transformation in the market. We’re a well-funded, rapidly growing (we have recently launched our 100th store), omnichannel D2C brand with a passionate and innovative team.

Job Summary: We are seeking a Data Engineer to help us design, build and maintain our BigQuery data warehouse by performing ETL operations and creating unified data models. You will work across various data sources to create a cohesive data infrastructure that supports our omnichannel D2C strategy.

Why Join Us: Experience the exciting world of India's billion-dollar D2C market. As a well-funded, rapidly growing omnichannel D2C brand, we are committed to changing the way India sleeps and sits. You'll have the opportunity to work with a passionate and innovative team and make a real impact on our success.

Key Responsibilities:

ETL Operations: Design, implement, and manage ETL processes to extract, transform, and load data from various sources into BigQuery.

Data Warehousing: Build and maintain a robust data warehouse in BigQuery, ensuring data integrity, security, and performance.

Data Modeling: Create and manage flat, unified data models using SQL and DBT to support business analytics and reporting needs.

Performance Optimization: Optimize ETL processes and data models to ensure timely data delivery for reporting and analytics.

Collaboration: Work closely with data analysts, product managers, and other stakeholders to understand data requirements and deliver actionable.

Documentation: Maintain comprehensive documentation of data workflows, ETL processes, and data models for reference and onboarding

Troubleshoot: Monitor and troubleshoot data pipeline issues, ensuring timely resolution to minimize disruption to business operations.

Skills and Qualifications:

Proficiency in SQL and experience with BigQuery
Minimum 2 years of experience in data engineering or a similar role
Experience with data pipeline and ETL tools (e.g., Apache Airflow, Talend, AWS Glue)
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services
Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake)
Knowledge of data modeling, data architecture, and data governance best practices.
Excellent problem-solving skills and attention to detail
Knowledge of DBT (Data Build Tool) for data transformation
Self-motivated, proactive, and highly accountable
Excellent communication skills to effectively convey technical concepts and solutions

Bonus point - Prior experience in E-commerce or D2C space