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Aws Data Engineer (Pyspark)

NimbusAITech LLC
Richmond, VA Full Time
POSTED ON 2/21/2025
AVAILABLE BEFORE 4/19/2025

Job Details

Data Engineer

Location: Richmond, VA

Job Responsibilities

Design, develop, and maintain scalable data pipelines to support data ingestion and processing.

Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

Implement data models and architectures that support analytics and reporting.

Utilize various programming languages and tools such as Python, Java, and SQL to manipulate and analyze data.

Work with cloud technologies, specifically AWS services like Lambda, EMR, and DynamoDB, to build and deploy data solutions.

Integrate data from various sources using tools like Kafka and Spark.

Monitor and optimize data pipelines for performance and reliability.

Ensure data quality and integrity through rigorous testing and validation processes.

Document data processes and workflows for future reference and compliance.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.

Proven experience as a Data Engineer or in a similar role within the banking industry.

Strong proficiency in programming languages such as Python and Java.

Experience with web technologies including HTML, CSS, and React.

Familiarity with data processing frameworks like Spark and data orchestration tools such as Airflow or Step Functions.

Hands-on experience with AWS services, particularly Lambda, EMR, and DynamoDB.

Knowledge of data warehousing solutions like Snowflake and Databricks.

Excellent problem-solving skills and the ability to work independently as well as part of a team.

Strong communication skills to effectively collaborate with stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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