AWS Data Engineer
Apex Systems
AWS Data Engineer
We are seeking a skilled AWS Data Engineer to join our team. The ideal candidate will design, build, and maintain scalable data pipelines and infrastructure on AWS to support data-driven decision-making. You will collaborate with architects, analysts, and software engineers to ensure efficient data flow and accessibility across the organization.
Key Responsibilities
- Design, develop, and maintain data pipelines using AWS services such as AWS Glue, Lambda, S3, Redshift, and Athena.
- Build and optimize data models for performance and scalability.
- Implement ETL/ELT processes to extract, transform, and load data from various sources into AWS data stores.
- Ensure data quality, integrity, and security by implementing best practices and governance policies.
- Monitor and optimize data pipeline performance, ensuring low latency and high availability.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Automate data workflows using tools like AWS Step Functions or Airflow.
- Implement CI/CD pipelines for data infrastructure deployment.
- Stay updated on AWS data services and industry trends to recommend improvements.
Required Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience: 5+ years of experience as a Data Engineer or in a similar role.
Technical Skills:
- Strong proficiency with AWS services (e.g., S3, Glue, Macie).
- Experience with SQL and NoSQL databases.
- Proficiency in programming languages like Python, Terraform, Scala, or Java for data processing.
- Experience with ETL tools and frameworks (e.g., AWS Glue, Apache Spark).
- Familiarity with data modeling, schema design, and data warehousing concepts.
- Knowledge of CI/CD practices and version control systems.
- Strong problem-solving skills and attention to detail.
- Proficiency with Microsoft Office.
Preferred Qualifications
- AWS Certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect).
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Knowledge of data governance and compliance frameworks.
- Experience with IaC tools like Terraform.
Work Environment
This position requires a hybrid schedule with a minimum of 3 days per week onsite.
Vacancy posted 5 hours ago
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