
Advanced Big Data Specialist
2 days ago
Job Title: Cloud Data Engineer
">Are you passionate about building scalable cloud solutions and powering data-driven decision-making?
As a senior-level Cloud Data Engineer, you'll have the opportunity to work on cutting-edge technologies like PySpark, AWS Glue, Lambda, Step Functions, and more.
Key Responsibilities:
- Build and maintain robust ETL pipelines using PySpark and AWS Glue for efficient data transformation.
- Collaborate with analysts and stakeholders to ensure high-quality data availability.
- Write and optimize SQL queries for efficient data processing and storage.
- Use Git for version control and code collaboration.
- Design and manage scalable data lakes using AWS S3 and related services for cost-effective and secure data storage.
- Work with Amazon DynamoDB and Redshift for high-performance data storage and analytics.
- Develop interactive dashboards using Amazon QuickSight.
- Automate workflows with AWS Step Functions, Lambda, and EventBridge.
- Monitor and optimize data workflows for performance and scalability.
- Troubleshoot complex data issues and resolve them promptly.
Required Skills and Qualifications:
- Bachelor's in Computer Science, Data Science, or a related field (Master's preferred).
- Strong hands-on experience with PySpark, Python, and SQL programming languages.
- Proficient in Git and AWS services (Glue, S3, Lambda, Redshift, Athena, DynamoDB, etc.).
- Familiarity with Databricks and its ecosystem.
- Excellent problem-solving and communication skills.
- Ability to thrive in a fast-paced and collaborative environment.
Preferred Skills:
- Knowledge of data warehousing and data modeling.
- Exposure to big data technologies like Hadoop and Spark.
- AWS certifications in data engineering are a plus.
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