Aws Data Enginner
Aws Data Enginner
Posted on :
20-12-2024
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1 Vacancy
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Job Description
AWS Data Engineer
Overview
The AWS Data Engineer plays a crucial role in optimizing the organization s data architecture and ensuring the efficient processing and storage of data in the cloud. This role is essential for transforming raw data into valuable insights that can accelerate decisionmaking processes across the organization. The AWS Data Engineer collaborates with various teams including data scientists and business analysts to develop data pipelines and architectures that are scalable and robust. As a key contributor to datadriven strategies this position not only focuses on data management but also on ensuring data quality accessibility and security. Additionally the AWS Data Engineer will be responsible for supporting the deployment of datadriven applications and analytics solutions that meet business needs and enhance operational efficiency. With the growing emphasis on cloud computing this role becomes increasingly vital for leveraging AWS technologies and tools to maximize data utilization and drive innovation within the company.
Key Responsibilities
- Develop construct test and maintain architectures such as databases and largescale processing systems.
- Design create and implement data pipelines for various ETL processes.
- Utilize AWS services (S3 Redshift Glue etc.) for scalable data storage and processing.
- Manage cloudbased data solutions and recommend best practices.
- Collaborate with data scientists and business analysts to support their data analytics needs.
- Optimize data models and database architecture for peak performance.
- Implement data governance and security practices in accordance with organizational policies.
- Ensure data accuracy and quality through rigorous testing and validation practices.
- Monitor and troubleshoot data systems and make improvements as needed.
- Participate in the design of data warehouses and data lakes for big data storage solutions.
- Document data architecture and workflows for transparency and maintainability.
- Research and implement new technologies to improve data processing capabilities.
- Prepare and execute plans for data migrations and integrations.
- Engage in crossfunctional team activities to recommend insights from various data sources.
- Train and mentor junior data engineering staff on best practices.
Required Qualifications
- Bachelors degree in Computer Science Information Technology or a related field.
- Proven experience as a Data Engineer or a similar role.
- Strong knowledge of AWS platform services and cloud architecture.
- Proficiency in SQL and experience with NoSQL databases.
- Experience with Python or Java programming for data processing.
- Familiarity with data warehousing concepts and data models.
- Handson experience with ETL tools and processes.
- Understanding of big data technologies (Hadoop Spark etc.).
- Experience with data visualization tools (Tableau Power BI etc.).
- Strong analytical and problemsolving skills.
- Excellent communication skills for crossteam collaboration.
- Ability to work independently and meet project deadlines.
- Knowledge of data governance principles and practices.
- Experience with version control systems (Git etc.).
- Familiarity with data streaming technologies (Kafka AWS Kinesis etc.).
nosql databases,java,s3,version control systems (git),data governance principles,data modeling,glue,data visualization,aws services (s3, redshift, glue),spark,problem solving,python,data visualization tools (tableau, power bi),aws,sql,etl tools,sql proficiency,data warehousing,hadoop,data streaming technologies (kafka, aws kinesis),amazon redshift
Employment Type
Full Time
Key Skills
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