Aws Data Engineer
Aws Data Engineer
Posted on :
16-05-2025
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1 Vacancy
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Job Description
Overview
The AWS Data Engineer plays a critical role in helping organizations harness the power of data through the AWS cloud platform. This position involves designing building and maintaining data architectures and pipelines that support analytical and operational needs. Working closely with data scientists analysts and stakeholders the Data Engineer ensures that data flows seamlessly from various sources to data warehouses or data lakes. By optimizing the management and accessibility of data the Data Engineer enables datadriven decisionmaking across the organization. The ideal candidate will have a strong foundation in AWS services data modeling and ETL processes contributing to an agile development environment that is essential for modern businesses. As data becomes increasingly integral to organizational strategy the AWS Data Engineers expertise will be paramount in leveraging cloud technologies to drive innovation and efficiency.
Key Responsibilities
- Design develop and maintain scalable data pipelines for data ingestion.
- Implement ETL processes to transform raw data into insightful information.
- Optimize performance and reliability of AWS data infrastructure.
- Collaborate with data scientists and analysts to understand data requirements.
- Ensure data quality and integrity throughout the data lifecycle.
- Utilize AWS services like S3 Glue Redshift and Athena for data solutions.
- Build and maintain data models that support business needs.
- Monitor and troubleshoot data workflows to ensure smooth operations.
- Document data architecture processes and workflows.
- Conduct performance tuning and optimization of existing data systems.
- Stay updated with the latest AWS data services and best practices.
- Participate in code reviews and contribute to development standards.
- Implement security measures for data protection and compliance.
- Support data governance initiatives to ensure proper usage.
- Provide technical support and guidance to team members.
Required Qualifications
- Bachelors degree in Computer Science Information Technology or related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong knowledge of AWS services and cloud architecture.
- Proficiency in Python SQL and related programming languages.
- Experience with ETL tools and processes.
- Familiarity with big data technologies like Hadoop or Spark.
- Understanding of data warehousing concepts and methodologies.
- Ability to design efficient data models.
- Experience with data visualization tools is a plus.
- Solid understanding of data privacy and security principles.
- Strong analytical and problemsolving skills.
- Excellent communication and teamwork abilities.
- Experience with Agile methodologies.
- Certifications in AWS data services would be an advantage.
- Commitment to continuous learning and improvement in data engineering.
- Ability to manage multiple priorities in a fastpaced environment.
Pyspark Airflow Athena Redshift AWS Glue
etl processes,hadoop,pyspark,sql,data visualization tools,sql proficiency,athena,airflow,aws glue,data warehousing,python,aws services,spark,problem solving,data modeling,data privacy and security principles,redshift
Employment Type
Full Time
Key Skills
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