AWS Cloud Data Engineering Architect
21 hours ago
We are seeking an experienced AWS Cloud Data Engineering Architect to join our team at YASH Technologies. The successful candidate will be responsible for designing and implementing large-scale data solutions on the AWS cloud, leveraging expertise in AWS Data & Analytics Services, Databricks, and related technologies.
Estimated Salary: $170,000 - $200,000 per annum
About the Role:The role of an AWS Cloud Data Engineering Architect is pivotal in shaping our organization's data strategy, ensuring seamless integration with existing systems, and driving innovation through cutting-edge technology adoption.
This position requires a deep understanding of cloud computing, big data analytics, and advanced data engineering concepts. As a key member of our team, you will collaborate closely with cross-functional groups to deliver high-quality solutions that meet business requirements.
Responsibilities:
- Design, implement, and maintain scalable, secure, and efficient data architectures on AWS, aligning with business objectives and industry best practices.
- Collaborate with stakeholders to gather requirements, identify opportunities for process improvements, and develop strategies for migrating on-premise data warehouses to AWS-based data platforms.
- Leverage expertise in AWS services such as S3, DynamoDB, Redshift, Kinesis, Lambda, Glue, and Athena to build high-performance data pipelines, processing vast amounts of structured and unstructured data.
- Promote the adoption of cloud-native data engineering practices, advocating for the use of DevOps tools, containerization, and serverless computing to enhance agility and reduce costs.
- Mentor junior engineers, share knowledge, and participate in knowledge-sharing sessions to promote a culture of continuous learning within the team.
To excel in this role, you should possess:
- A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum 7+ years of experience in data engineering, architecture, or a related field, with a strong focus on cloud computing and AWS.
- In-depth knowledge of AWS services, including data analytics, machine learning, and data warehousing.
- Proficiency in programming languages such as Python, Java, or C++, with experience in scripting languages like PySpark or Spark SQL.
- Familiarity with containerization (Docker), serverless computing (Lambda), and DevOps tools (e.g., Jenkins, GitLab).
- Demonstrated experience in leading teams, mentoring engineers, and promoting knowledge sharing within the organization.
If you are passionate about cloud data engineering, enjoy staying up-to-date with the latest industry trends, and thrive in collaborative environments, we encourage you to apply for this exciting opportunity.
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