Senior Data Engineer
2 days ago
We are seeking a seasoned Senior Data Engineer with expertise in cloud computing, Python, and big data technologies to join our team at AppSierra Solutions Pvt Ltd. As a key member of our data engineering team, you will be responsible for designing, developing, testing, and maintaining scalable data pipelines and systems. This role is crucial for ensuring that data is collected, stored, and transformed efficiently and accurately to meet the needs of our organization.
About the Role
This senior-level position requires a strong background in data engineering principles, including data modeling, data integration, and ETL processes. You will work closely with data scientists and stakeholders to understand data requirements and determine the best approach for data collection, storage, and transformation. Your expertise in cloud-based data platforms and services, particularly AWS S3, Glue, EMR, Athena, and Redshift, will enable you to design and implement efficient data pipelines that cater to our growing data needs.
Key Responsibilities
- Design, develop, test, and maintain large-scale data pipelines using AWS services, Python, and big data technologies.
- Collaborate with data scientists and stakeholders to define data requirements and determine the best approach for data collection, storage, and transformation.
- Implement data quality and data 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 Senior Data Engineer, with expertise in cloud computing, Python, and big data technologies.
- 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 and Hadoop.
- 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 Range: $120,000 - $180,000 per annum.
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