
Data Infrastructure Developer
1 week ago
We are seeking a highly skilled Data Engineer to contribute to the design, development, and maintenance of our data infrastructure. The ideal candidate has hands-on experience with Python, SQL, and AWS data services.
Key Responsibilities:- Design and implement scalable data pipelines using Python and SQL.
- Develop and maintain ETL processes to clean, enrich, and transfer data across systems and cloud environments.
- Collaborate with data scientists, analysts, and stakeholders to ensure data quality and availability.
- Integrate AWS services (e.g., S3, Redshift, Glue, Lambda) into data workflows.
- Optimize database performance and query efficiency.
- Monitor and resolve data pipeline issues promptly.
- Ensure data security, integrity, and quality.
- Document technical processes and procedures.
- Proficiency in Python for data processing and scripting.
- Strong SQL skills for data extraction, transformation, and manipulation.
- Experience with ETL processes and working with large datasets.
- Familiarity with AWS services such as S3, Redshift, Glue, Lambda, or similar cloud platforms.
- Basic understanding of data warehousing concepts and best practices.
- Effective communication and collaboration skills.
- Strong problem-solving mindset and attention to detail.
- Hands-on experience with AWS data services (S3, Redshift, Glue, Lambda).
- Familiarity with workflow orchestration tools like Apache Airflow.
- Exposure to data modeling and database design.
- Knowledge of big data technologies (e.g., Apache Spark, Hadoop).
- Experience with version control systems like Git.
- Proficiency in AWS SageMaker for machine learning workflows.
- Experience working with Jupyter notebooks for data analysis and visualization.
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