
Building and Managing Data Infrastructure
2 days ago
We are seeking an experienced Data Architecture Specialist to join our team. As a Data Architecture Specialist, you will be responsible for designing and developing robust, scalable, and secure data pipelines and infrastructure.
Key Responsibilities:
- Design and develop end-to-end ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, Kinesis, and Airflow.
- Leverage AWS services like S3, Redshift, RDS, DynamoDB, EMR, Athena, and Lake Formation.
- Write and optimize Python code for data processing and automation (PySpark experience preferred).
- Design and manage relational and NoSQL databases (MS SQL Server, PostgreSQL, MongoDB).
- Implement data modeling, warehousing, and governance best practices.
- Monitor and optimize performance, scalability, and cost of data infrastructure.
- Collaborate with data scientists, analysts, and engineering teams.
Requirements:
- Bachelor's degree in Computer Science or related field.
- 6–8 years of hands-on experience in data architecture on AWS.
- Strong proficiency in Python and AWS data services.
- Expertise in MS SQL Server and other databases.
- Experience with orchestration tools like Step Functions and Airflow.
- Solid understanding of data lakes, warehousing, and ETL/ELT methodologies.
- Excellent communication and problem-solving skills.
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