Data engineer
1 month ago
About Us: As India's fastest-growing D2 C 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 D2 C brand with a passionate and innovative team.
Job Summary: We are seeking a Data Engineer to help us design, build and maintain our Big Query 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 D2 C strategy.
Why Join Us: Experience the exciting world of India's billion-dollar D2 C market.
As a well-funded, rapidly growing omnichannel D2 C 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 Big Query.
Data Warehousing: Build and maintain a robust data warehouse in Big Query, 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 Big Query 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 Big Query, 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 D2 C space
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