Job Description & Responsibilities

Design, implement, and maintain ETL processes using AWS Glue to ingest, transform, and load data from various sources into our data warehouse.
Develop and optimize data pipelines for efficient data processing and storage within AWS Redshift.
Collaborate with cross-functional teams to understand their data needs and create data models that facilitate accurate reporting and analysis.
Write complex SQL queries and scripts to extract, transform, and manipulate data for analysis and reporting.
Leverage Python programming skills to automate data processes and build custom solutions as needed.
Manage AWS Cloud resources, including S3 buckets, to ensure data availability, security, and scalability.
Create visually compelling reports and dashboards using Power BI to present data-driven insights to stakeholders.
Monitor and maintain data quality, integrity, and performance, identifying and resolving issues proactively.
Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes.

Data Engineer| Remote| 5+ Yrs

Job Description & Responsibilities