Data Engineer
December 7
Airflow
Amazon Redshift
Apache
AWS
Azure
Cloud
Distributed Systems
DynamoDB
ETL
MongoDB
MySQL
NoSQL
Postgres
Python
SQL
Go
Description
• Design, build, and maintain scalable ETL pipelines to collect, process, and transform structured and unstructured data from multiple sources. • Develop and optimize database schemas and queries for data warehousing solutions. • Collaborate on building a cloud-based data platform (AWS) to support analytics and machine learning workflows. • Work closely with data analysts and product teams to understand data needs and deliver usable solutions.
Requirements
• Proficiency in Python and SQL with a strong understanding of complex queries and performance optimization. • Experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Prefect, AWS Glue). • Hands-on experience with AWS or other cloud platforms (Google Cloud, Azure). • Expertise in relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB). • Familiarity with Git. • Experience implementing and managing CI/CD pipelines. • Bonus: AWS certifications (e.g., AWS Certified Data Analytics or AWS Certified Solutions Architect). • Proficiency in Go (Golang). • Experience with Snowflake, Redshift, or BigQuery.
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