Data Engineer Intern
2 weeks ago
Job Description:
We're a fast-growing startup building a next-generation e-commerce analytics platform for clients that empowers brands and sellers to make smarter decisions through real-time data integration, custom dashboards, and predictive insights. Our product ingests and processes large volumes of multi-source data to uncover trends, optimize ad spend, and boost sales performance. We're looking for Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You'll work closely with our data science and product teams to ensure data is reliable, accessible, and optimized for advanced analytics.
Tech Stack and Required Skills:
• Programming Languages: Python
• ETL & Data Pipelines: Apache Airflow, dbt, Luigi, custom ETL scripting
• Data Warehousing: Snowflake, Amazon Redshift, Google BigQuery
• Databases: PostgreSQL, MySQL, NoSQL (MongoDB, DynamoDB)
• Data Lakes & Storage: AWS S3, GCS, Delta Lake
• Big Data Technologies: Apache Spark, Kafka, Hadoop
• Cloud Platforms: AWS (preferred), GCP, Azure
• Infrastructure as Code (Nice to Have): Terraform, CloudFormation
• Other Skills:
• Experience with building and maintaining scalable, fault-tolerant systems
• Strong knowledge of data modeling and schema design
• Proficiency in SQL and performance tuning
• Familiarity with CI/CD and DevOps practices for data workflows
• Ability to work with cross-functional teams and translate business requirements into engineering solutions
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