Data Engineer
3 days ago
Radix HR is on the hunt for a talented Data Engineer to join our dynamic team
If you thrive on turning complex data into actionable insights and love building robust data pipelines, this opportunity is for you. As a Data Engineer, you'll play a crucial role in designing, implementing, and maintaining scalable data solutions that drive business intelligence and analytics. You'll work with modern tools and technologies, collaborate with cross-functional teams, and contribute to innovative projects that make a real impact.
- Content Management Systems: Partnering with key market leaders to provide advanced CMS functionality and add-on components.
- Digital Production & Content Studio: Creating seamless and impactful digital experiences.
- Marketing Automation & Commerce Platforms: From basic email engines to integrated omnichannel cloud platforms.
- Real-Time Optimized Experiences: Connecting people, data, and intelligence for dynamic solutions.
Position: Data Engineer
Key Responsibilities:
- Data Platform Development: Design, implement, and support a secure platform for large datasets.
- Data Infrastructure Management: Build and maintain scalable data infrastructure and pipelines.
- ETL Development: Create routines to extract, transform, and load data from diverse sources using Python, SQL, and AWS big data technologies.
- BI Solutions Implementation: Design and implement complex ETL pipelines and business intelligence solutions.
- Cross-Functional Collaboration: Work closely with product owners, developers, and data strategists to integrate new data sources and enhance data delivery.
Required Skills & Experience:
- Experience: 3-5 years in data ingestion, processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions on AWS Cloud Platform.
- AWS Proficiency: Hands-on experience with AWS Glue, Lambda, RDS PostgreSQL, S3, Redshift, Athena, and other data automation services.
- Scripting Skills: Proficient in Python for serverless architecture.
- Data Management: Strong skills in data modeling, querying, and optimization for relational databases, NoSQL, data warehouses, and data lakes.
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