
Data Engineer
1 day ago
- Design, develop, and maintain data pipelines and workflows using PySpark to process large volumes of data efficiently.
- Implement data ingestion, transformation, and storage solutions to support business requirements.
- Develop and optimize Python scripts and algorithms for data manipulation, analysis, and modeling tasks.
- Design and manage database systems, including schema design, indexing, and performance optimization.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Perform data quality assessment, validation, and cleansing to ensure accuracy and integrity of data.
- Monitor and troubleshoot data pipeline issues, performance bottlenecks, and system failures.
- Stay up-to-date with emerging technologies and best practices in data engineering and analytics.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Should have a minimum of 3 years of experience in the field of Database or Data Analytics
- Minimum of 3 years of experience in data engineering, with expertise in Spark, Python, and database technologies.
- Experience with PySpark for data processing and analysis tasks.
- Proficiency in Python programming for scripting and automation.
- Solid understanding of database concepts and hands-on experience with SQL and NoSQL databases.
- Experience with data modeling, schema design, and ETL processes.
- Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Good to have experience with a cloud platforms.
3Pillar Global
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