Data Engineering Expert for Scalable Data Solutions
1 month ago
We are seeking a skilled Data Engineer with expertise in AWS, Python, and PySpark to join our team at AppSierra Solutions Pvt Ltd. As a Data Engineer, you will be responsible for developing, testing, and maintaining scalable data pipelines and systems that meet the needs of our organization.
Key Responsibilities:
- Develop, test, and maintain data pipelines using AWS services, Python, and PySpark.
- Collaborate with data scientists and stakeholders to understand data requirements and determine the best approach for data collection, storage, and transformation.
- Implement data quality and governance processes to ensure the accuracy, completeness, and consistency of data.
- Optimize and tune data pipelines for performance and scalability, considering factors such as data volume, velocity, and variety.
- Monitor and troubleshoot data pipelines and systems, identifying and resolving issues in a timely manner.
- Document data pipelines, systems, and operational procedures to facilitate knowledge sharing and ensure maintainability.
Requirements:
- Bachelor's degree in computer science, information technology, or a related field.
- Proven experience as a Data Engineer, with expertise in AWS, Python, and PySpark.
- Strong knowledge of data engineering principles and best practices, including data modeling, data integration, and ETL processes.
- Proficiency in programming languages such as Python, with experience in PySpark.
- Familiarity with cloud-based data platforms and services, particularly AWS S3, Glue, EMR, Athena, and Redshift.
- Experience with SQL and NoSQL databases, as well as data warehouse concepts.
- Strong problem-solving skills and the ability to analyze complex data challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Strong attention to detail and the ability to prioritize and multitask in a fast-paced environment.
- Estimated Salary: ₹1,200,000 - ₹1,800,000 per annum.
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