Overview: The AWS Data Engineer plays a crucial role in managing and transforming data into actionable insights for the organization. This position is essential for building robust data pipelines and ensuring the availability and reliability of data for analysis and reporting. The AWS Data Engineer will work closely with stakeholders to understand data needs and design solutions that leverage AWS services. This role demands a deep understanding of data flow data integration and storage solutions within AWS alongside experience with big data technologies. As organizations increasingly rely on datadriven decisions the AWS Data Engineer will help drive strategic initiatives by providing timely and accurate data. Furthermore this position requires excellent problemsolving abilities a collaborative mindset and the capacity to thrive in a fastpaced environment. Ultimately the AWS Data Engineer will be instrumental in supporting data analytics and fostering a datadriven culture across the organization.
Key Responsibilities:
- Design build and maintain scalable data pipelines using AWS technologies.
- Implement ETL processes to extract transform and load data from various sources.
- Collaborate with data scientists and analysts to understand data requirements.
- Optimize data architectures for better performance and costefficiency.
- Develop and maintain data models that support business needs.
- Monitor database performance and troubleshoot issues as they arise.
- Ensure data quality and data governance standards are met.
- Document data engineering processes and best practices.
- Stay updated on emerging AWS technologies and trends.
- Work with crossfunctional teams to integrate data solutions into existing platforms.
- Automate manual processes to improve efficiency and reliability.
- Utilize big data tools such as Apache Spark Hive or similar technologies.
- Implement data security measures in compliance with organizational policies.
- Conduct data analysis to identify patterns and generate insights.
- Assist in training and mentoring junior data engineering staff.
Required Qualifications:
- Bachelor s degree in Computer Science Engineering or related field.
- 3 years of experience in data engineering or similar roles.
- Proven expertise in AWS services such as S3 Redshift Lambda and Glue.
- Experience with SQL and NoSQL databases.
- Strong programming skills in Python Java or similar languages.
- Handson experience with ETL tools and frameworks.
- Familiarity with data warehousing concepts and technologies.
- Understanding of data modeling techniques and best practices.
- Experience with big data technologies like Hadoop or Apache Spark.
- Knowledge of data visualization tools like Tableau Power BI or equivalent.
- Excellent analytical and problemsolving skills.
- Strong communication and teamwork abilities.
- Experience working in an Agile development environment.
- Ability to manage multiple priorities and work under pressure.
- Certifications in AWS or related technologies preferred.
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