Position: Senior Data Engineer(AWS+Data Lake)
Company: Akvelon Tech
Experience required: 3y
English level: upper

**Qualifications:**
- Build and manage Data Lake in AWS using AWS native services from the scratch.
- Strong communication skills and is a thought leader - Ability to clearly articulate technical vision and technological considerations.
- Real world experience building data lake in AWS
- Good understanding of the different design patterns for a data lake and how to build things from ground up.
- Minimum 5 years of experience with some of the following skills and technologies:
Batch & streaming data pipelines (Spark, Beam, Kafka, Kinesis etc.)
Workflow orchestration (Airflow, Dagster, Luigi, etc)
Data quality monitoring & observability
Data modeling (SQL, dbt, Spark)
REST, GraphQL & SOAP APIs
Data security & compliance (encryption, data masking, SSH tunnels, etc)
Experience in using Python for Data processing.
**We offer:**
- Professional and personal growth.
- Competitive compensation depending on experience and skills.
- Compensation for sick leaves and regular vacations.
- Flexible work hours, remote.