Qohash is seeking bold, mission-driven individuals who are accountable and curious.
The company values collaboration, customer-centricity, and alignment with core values of accountability, pursuit of excellence, and resilience.
The Data Engineer will thrive in a fast-paced, agile environment and will be responsible for building and maintaining scalable microservices and data pipelines.
Responsibilities include analyzing, designing, and implementing data pipeline features and infrastructure improvements, writing efficient code, conducting testing, and optimizing data ingestion processes.
The role involves participating in end-to-end project delivery, identifying and resolving anomalies, collaborating with security and product teams, and contributing to the team’s agility and automation efforts.
The Data Engineer will evaluate technical design decisions and communicate risks related to technology, security, or operations.
Requirements:
Candidates must have 6+ years of experience in data engineering, data warehousing, or ETL development.
A minimum of 3+ years of experience in Apache Spark or Databricks is required.
Candidates should have at least 2+ years of experience with AWS cloud services and in building, deploying, and optimizing data ingestion pipelines.
Experience working directly with internal and external stakeholders is necessary.
A bachelor’s or master’s degree in computer science, software engineering, or equivalent practical experience is required.
Nice to have skills include experience with real-time data streaming, familiarity with tools like Apache Kafka and Delta Lake, and experience in a startup environment.
Benefits:
The position offers a competitive salary range.
Employees can enjoy up to six weeks of paid time off annually to promote well-being and rest.
A comprehensive benefits package is provided, including health, dental, and vision insurance, life insurance, short- and long-term disability, paramedical and telemedicine services, and a Health Spending Account (HSA).