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3 days ago
We're seeking a highly skilled Data Engineering Expert to join our team. In this role, you'll design and build scalable data pipelines and architectures that can handle large-scale datasets from varied sources.
Key Responsibilities:
- Design and Build Scalable Data Pipelines: Collaborate with solution designers to implement data ingestion and enrichment, ensuring seamless integration of data across systems.
- Integrate and Transform Large-Scale Datasets: Utilize expertise in Hadoop ecosystem (Hive, Spark), Java/Scala, and SQL to transform and process massive datasets.
- Promote Coding Standards and Ensure Data Quality: Develop and enforce coding standards, guaranteeing high-quality data throughout the agile delivery process.
Requirements:
- Strong Experience with Hadoop Ecosystem: Proficiency in Hive, Spark, and other related tools is essential.
- Proficient in SQL and Shell Scripting: Strong skills in writing efficient SQL queries and shell scripts are required.
- AWS Cloud Infrastructure and Data Warehouses: Familiarity with AWS cloud infrastructure and data warehouses is a plus.
- Agile Methodology and Automation Tools: Knowledge of Agile methodology and automation tools like GitHub and TeamCity is beneficial.
This role offers an exciting opportunity to work on complex data engineering projects and collaborate with cross-functional teams. If you're passionate about building scalable data pipelines and architectures, apply now.
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