Cloud AWS Engineer / Databricks Cloud Data Engineer

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Written by AI from the job title and company, not by Ampcus Inc, so some details may not match this job. The employer's own page has the real description.

Overview

Ampcus Inc. is seeking a highly skilled Cloud AWS Engineer / Databricks Cloud Data Engineer to join our dynamic team. The successful candidate will play a critical role in designing, implementing, and maintaining cloud-based solutions with a focus on AWS and Databricks. This position involves collaborating with cross-functional teams to develop robust data architectures and ensure efficient data processing workflows. The ideal candidate should have strong technical expertise in cloud technologies, data engineering principles, and a passion for leveraging data to drive decision-making.

Job Responsibilities

• Design and implement scalable, reliable, and secure cloud-based solutions on AWS.
• Develop and maintain ETL pipelines using Databricks to process large datasets efficiently.
• Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights.
• Optimize AWS infrastructure for performance, cost-efficiency, and compliance.
• Monitor system performance and troubleshoot issues related to data processing and cloud services.
• Document architecture designs, processes, and standard operating procedures.
• Stay updated with emerging technologies and best practices in cloud computing and data engineering.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Minimum of 3 years of experience in cloud engineering, with a focus on AWS services.
• Proficient in Databricks, Spark, SQL, and data modeling concepts.
• Hands-on experience with AWS services such as EC2, S3, Lambda, Redshift, and Glue.
• Strong understanding of data warehousing solutions and architecture.
• Experience with programming languages such as Python, Java, or Scala.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills, both verbal and written.

Technologies & Tools

The position requires proficiency in a variety of technologies and tools, including but not limited to AWS services (e.g., S3, EC2, Lambda, Redshift), Databricks, Apache Spark, SQL databases, ETL tools, and programming languages such as Python and Scala. Familiarity with data visualization tools and CI/CD tools will be an advantage.

Ideal Candidates

The ideal candidate for this position is a proactive problem-solver with a strong analytical mindset and a passion for data-driven solutions. They should possess a collaborative spirit, working seamlessly in team environments to drive project success. The candidate should be adaptable to evolving technologies and methodologies, demonstrating a commitment to continuous learning and innovation in the field of cloud engineering and data analytics.