AWS Data Engineering
16 hours ago
Key Skills: AWS, Data Engineer
Roles and Responsibilities:
- Architect and develop data pipelines using AWS services.
- Design and optimize relational and non-relational databases.
- Implement ETL/ELT processes using AWS Glue, Lambda, and other tools.
- Manage data lakes and warehouses (e.g., S3, Redshift, Athena).
- Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
- Ensure data quality, security, and compliance with governance standards.
- Mentor junior engineers and contribute to architectural decisions.
- Hands-on experience with AWS services: AWS Glue, Redshift, S3, Lambda, EMR, Athena, Lake Formation.
- Proficiency in Python, PySpark for data processing.
- Experience with large database migration to AWS using Database Migration tools (DMS, SCT, etc.).
- Familiarity with CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation).
- Excellent problem-solving and communication skills.
- Experience with Airflow and Step Functions is a must.
Skills Required:
- Expertise in AWS data services (Glue, Redshift, S3, Lambda, EMR, Athena)
- Strong SQL and database design knowledge (PostgreSQL, MySQL, Oracle)
- Proficient in Python and PySpark for ETL/ELT
- Experience with Airflow and AWS Step Functions
- Familiarity with AWS DMS, SCT for data migration
- CI/CD pipeline and IaC tools experience (Terraform, CloudFormation)
- Strong communication and stakeholder collaboration skills
Education: Bachelor's Degree in related field
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