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Open nowPosted 443 days ago

AWS Data Engineer

Codersbrain

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Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 443 days ago

The posting

AWS Data Engineer

## Company Overview Information not provided.

## Job Summary The AWS Data Engineer will be responsible for designing and implementing data processing solutions using AWS and other cloud technologies. This role focuses on real-time data processing and will contribute to the organization’s data initiatives by enabling data accessibility and analytics capabilities at scale.

## Responsibilities - Design, develop, and maintain data pipelines and architectures for processing large datasets in real-time using Kafka and AWS. - Implement and manage data integration processes with Kafka Streams, Kafka Connect, and Schema Registry. - Collaborate with cross-functional teams to gather data requirements and ensure data quality and integrity. - Utilize Azure Databricks for data processing and analytics, ensuring best practices are followed. - Optimize data storage solutions using SQL and NoSQL databases while applying effective data modeling techniques. - Lead and mentor team members in data engineering projects and contribute to stakeholder communication and project management.

## Qualifications - Experience: 4+ years in data engineering with a strong proficiency in Python and Kafka. - Technical Skills: - Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. - Strong knowledge of cloud platforms, with preference for Azure, and some experience with AWS or GCP. - Proficiency in SQL and NoSQL databases, with solid data modeling skills for big data applications. - Familiarity with containerization technologies such as Docker and Kubernetes as well as CI/CD pipelines. - Soft Skills: - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities.

## Preferred Skills - Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. - Knowledge of Pyspark is good to have but not mandatory.

## Experience - Minimum of 8 years of experience as a data engineer, including specific experience with Python and Kafka.

## Environment - This role is fully remote, offering flexibility in work location.

## Salary Information not provided.

## Growth Opportunities Information not provided.

## Benefits Information not provided.

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