Senior Big Data Developer
2 weeks ago
Data Engineer Position Overview
">We are seeking a highly skilled Data Engineer to join our team. In this role, you will be responsible for building and maintaining robust data pipelines using cutting-edge technologies like PySpark and AWS Glue.
">The ideal candidate will have strong hands-on experience with PySpark, Python, and SQL, as well as proficiency in Git and AWS services. Familiarity with Databricks and its ecosystem is also a plus.
">As a Data Engineer, you will work closely with analysts and stakeholders to ensure data quality and availability. You will design and manage scalable data lakes using AWS S3 and related services, and collaborate with other teams to automate workflows with AWS Step Functions, Lambda, and EventBridge.
">Key Responsibilities:
">- Design and develop data pipelines using PySpark and AWS Glue.
- Collaborate with analysts and stakeholders to ensure data quality and availability.
- Work with Amazon DynamoDB and Redshift for high-performance data storage.
- Create interactive dashboards using Amazon QuickSight.
- Automate workflows with AWS Step Functions, Lambda, and EventBridge.
- Monitor and optimize data workflows for performance and scalability.
- Troubleshoot data issues and ensure timely resolution.
Requirements
">To be successful in this role, you will need:
">- A Bachelor's degree in Computer Science, Data Science, or related field (Master's preferred).
- Strong hands-on experience with PySpark, Python, and SQL.
- Proficient in Git and AWS services.
- Familiarity with Databricks and its ecosystem.
- Excellent problem-solving and communication skills.
- Ability to thrive in a fast-paced, collaborative environment.
Preferred Skills
">We are looking for candidates with:
">- 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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