Aws Glue
6 days ago
**Job Summary**
**Responsibilities**
- Develop and maintain scalable data pipelines using Airflow to ensure efficient data processing and integration.
- Utilize AWS services to design and implement cloud-based solutions that enhance data storage and retrieval.
- Write and optimize SQL queries to extract transform and load data from various sources.
- Leverage PySpark to perform data analysis and processing on large datasets ensuring high performance and reliability.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Monitor and troubleshoot data pipelines to ensure data accuracy and integrity.
- Implement best practices for data management including data governance and security measures.
- Provide technical guidance and support to junior developers fostering a collaborative and knowledge-sharing environment.
- Conduct code reviews to ensure code quality and adherence to coding standards.
- Stay updated with the latest industry trends and technologies to continuously improve data solutions.
- Document technical specifications processes and workflows to maintain comprehensive project documentation.
- Participate in agile development processes including sprint planning stand-ups and retrospectives.
**Qualifications**
- Possess a strong understanding of Advanced Excel for data analysis and reporting.
- Demonstrate proficiency in using Airflow for orchestrating data workflows.
- Have hands-on experience with AWS services for cloud-based data solutions.
- Show expertise in writing and optimizing SQL queries for data manipulation.
- Exhibit proficiency in PySpark for processing large datasets.
- Have a solid understanding of Big Data technologies and best practices.
- Display excellent problem-solving skills and attention to detail.
- Possess strong communication and collaboration skills to work effectively with cross-functional teams.
- Show a proactive attitude towards learning and adopting new technologies.
- Demonstrate the ability to work independently and manage multiple tasks simultaneously.
- Have experience in agile development methodologies.
- Exhibit a commitment to maintaining data accuracy and integrity.
- Show a passion for driving impactful results through data-driven solutions.
**Certifications Required**
- AWS Certified Solutions Architect Google Cloud Professional Data Engineer Microsoft Certified: Azure Data Engineer Associate
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