Position: Senior Data Engineer
Company: SQRD.tech
Experience required: 5y
English level: upper

The customer a language services company that provides translation, interpreting, and other related services to clients in the public and private sectors. 
They are looking for the Senior Data Engineer who will be building a cloud-based data infrastructure leveraging the latest technologies. The successful candidate will be expected to contribute to all stages of the data lifecycle including data ingestion, data modeling, data profiling, data quality, data transformation, data movement, and data curation.
Project tech stack: Python, Airflow, PostgreSQL; MySQL; Redshift

Position Level: Senior (5+ years)
- Minimum 5 years of experience in software engineering
- Expertise in SQL and high-level languages such as Python
- Expertise in relational databases (MySQL, PostgreSQL, Microsoft SQL, etc.).  
- Experience with leading medium to large data pro

Nice to have:
- Providing subject matter expertise on Azure, AWS or Google Cloud
 - Experience working with big data technologies such as Snowflake, Redshift or Synapse
- Ability to create and maintain workflows with Airflow DAGs

Duties and Responsibilities:
- Developing and maintaining end-to-end data pipelines in production
- Designing, implementing and supporting cloud-based data infrastructure that is resilient to disruptions and failures
- Designing, developing and supporting data warehouse solution
- Ensuring high uptime for all data services
- Scaling up our data infrastructure to meet potential cross-functional business needs

Any additional requirements/comments: Data engineer who will be working with Python, building a data warehouse and ETL pipeline from scratch