
Data Engineer
Role summary
A growing team is seeking a skilled Data Engineer to join their dynamic environment. This role focuses on building and enhancing scalable, cloud-based data platforms, optimizing database performance, and ensuring the resilience of high-volume systems. The Data Engineer will design, optimize, and scale MySQL databases, improve schema design, manage ETL pipelines and Data Lake architectures, and collaborate with cross-functional teams to power business insights and operations. Experience with AWS services, Apache tools, and programming languages like Python or Go is beneficial.
We’re Hiring: Data Engineer
We are looking for a skilled
Data Engineer
to join a dynamic and growing team working on scalable, cloud-based data platforms.
About the Role
This is a great opportunity to work on modern data infrastructure, optimize database performance, and contribute to high-volume, resilient systems. You’ll collaborate with cross-functional teams to build and enhance data solutions that power business insights and operations.
Key Responsibilities
- Design, optimize, and scale
MySQL databases
for high-performance systems
- Improve
schema design
for efficient data ingestion and extraction
- Collaborate with engineering teams to optimize queries and data models
- Manage
ETL pipelines
and
Data Lake architectures
- Support database migrations (MySQL → PostgreSQL is a plus)
- Enhance system reliability, performance, and data resiliency
- Troubleshoot system issues and ensure quick recovery with no data loss
Required Skills & Experience
- 6+ years of experience in
Data Engineering / Database Administration
- Strong expertise in
SQL, schema design, and optimization
- Experience with
ETL processes and data ingestion pipelines
- Familiarity with
AWS services (Lambda, Redshift, DMS)
- Hands-on with
Apache tools (Airflow, Kafka, Superset)
- Linux system knowledge; Kubernetes is a plus
- Exposure to
Python or Go
is an advantage
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