5-8 years of experience in data engineering, database administration, or similar roles
Strong experience with PostgreSQL, MongoDB, and Amazon Redshift
Solid SQL skills for both transactional and analytical workloads
Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.)
Proficiency in Python or another scripting language
Experience with workflow orchestration tools (Airflow, Step Functions, etc.)
Hands-on database administration experience, including:
MongoDB (replica sets, sharding, indexing, backups)
Redshift (cluster management, query tuning, WLM, snapshots)
PostgreSQL (replication, performance tuning, connection pooling)
Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.)
Understanding of database security (encryption, auditing, least-privilege access)
Strong problem-solving and analytical skills
Ability to translate business needs into data solutions
Comfortable working in a fast-paced, collaborative environment
Clear communicator with both technical and non-technical audiences
Self-motivated with a focus on clean, maintainable code

Data Engineer (AWS)

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