
Data Engineering Expert
4 days ago
We are seeking a skilled Data Engineer to join our expanding Data & Analytics team. As a key member, you will play a pivotal role in the development of high-quality Data Lakehouse products and solutions.
About the Role- Design and build scalable data pipelines and systems.
- Collaborate with cross-functional teams to understand data requirements and develop appropriate solutions.
- Implement and automate ETL processes to extract, transform, and load data from various sources.
- Develop real-time data pipelines and applications using serverless and managed AWS services.
- Standardize and cleanse data for AI, Data Science, and Analytics use cases.
- Build efficient databases and data models for performance and efficiency.
- Ensure data quality and integrity through data validations and quality checks.
- Develop and maintain documentation related to data infrastructure and processes.
- Troubleshoot and resolve data-related issues.
- Stay up-to-date with the latest trends and technologies in data engineering and data management.
- Bachelor's degree in Computer Science or a related field.
- Possess a deep passion for data and experience creating high-quality data products.
- 4+ years of experience working with customer-centric data on a big data scale.
- Hands-on experience building production data pipelines and working with structured, semi-structured, and unstructured data.
- Experience in engineering data solutions within cloud and hybrid infrastructures.
- Proficient in programming languages like Python.
- Experience with data integration/ETL technologies like Spark/PySpark, Kafka/Kinesis/EMR, Lambda, API Gateway, REST Api, AWS Glue.
- Familiarity with database technologies like AWS S3, MongoDB, DynamoDB, AWS Redshift, Glacier.
- Experience with CI/CD pipelines and tools like Jenkins, GitLab CI, Azure DevOps.
We offer a global network of industry experts and mentors to help shape your growth and future. We value diversity and do not discriminate based on any protected status.
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