Remote Position || Sr. AWS Data Engineer || C2H Position

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

Overview

The Sr. AWS Data Engineer at Strategism, Inc. will play a critical role in designing, implementing, and managing scalable data solutions on AWS. This position requires a deep understanding of data warehousing, ETL processes, and data modeling, combined with hands-on experience in developing data pipelines. The ideal candidate will work collaboratively with cross-functional teams to transform data into a valuable asset for the organization, driving data-driven decision-making and enhancing overall business strategies.

Job Responsibilities

• Design and implement robust data pipelines for efficient data ingestion, processing, and storage using AWS services.
• Develop, test, and maintain ETL processes to ensure data quality and accessibility.
• Collaborate with data architects and analysts to define data modeling requirements and design data warehouses.
• Optimize data storage and retrieval processes to support business intelligence and analytics initiatives.
• Utilize AWS cloud services, including but not limited to S3, Redshift, Glue, and Lambda, to enhance data handling capacity.
• Monitor and troubleshoot data pipeline performance to ensure real-time and batch processing meet business SLAs.
• Implement data governance and security measures to protect sensitive information in compliance with regulatory requirements.
• Document data engineering processes and maintain thorough documentation for project accountability and operational transparency.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience in data engineering, with a strong focus on AWS technologies.
• Proficiency in SQL and NoSQL database technologies, including but not limited to Redshift, DynamoDB, and RDS.
• Hands-on experience with ETL tools and data warehousing solutions.
• Demonstrated ability in scripting languages such as Python, Bash, or Java.
• Strong understanding of data modeling principles and best practices.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes is a plus.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills, both written and verbal, with the ability to work collaboratively in a remote team environment.

Technologies & Tools

The Sr. AWS Data Engineer will utilize a variety of technologies and tools to perform their duties effectively. Key AWS services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda will be central to daily activities. The position also requires familiarity with data ingestion and transformation tools, alongside programming languages such as Python or Java. Knowledge of containerization with Docker and orchestration with Kubernetes would further enhance the capabilities in deploying scalable data applications.

Ideal Candidates

An ideal candidate for this position is not only technically proficient but also possesses exceptional analytical and problem-solving skills. They should have a proactive approach to their work, exhibit strong collaboration skills, and adapt well to the dynamic nature of a remote working environment. A passion for data and a continuous desire to learn and improve processes will drive success in this role. Candidates should demonstrate effective communication skills to convey complex data concepts clearly to both technical and non-technical stakeholders.