Design, build, and maintain our data infrastructure, including data pipelines, warehouses, and databases
Ensure data quality and integrity by implementing data validation, testing, and monitoring processes understand data needs and translate them into technical requirements
Develop and implement data security and privacy policies and procedures
Optimize data processing and storage performance, ensuring scalability and reliability
Stay up-to-date with the latest data engineering trends and technologies
Provide mentorship and guidance to junior data engineers and analysts
Contribute to the development of data-driven solutions and products
Collaborate with cross-functional teams
requirements-expected :
3+ years of experience in data engineering, with a Bachelors degree in Computer Science, Engineering, or a related field
Strong knowledge of data engineering tools and technologies, including SQL, and GCP
Experience with big data processing frameworks, such as Spark or Hadoop
Experience with data warehousing solutions: BigQuery
Strong problem-solving skills, with the ability to analyze complex data sets and identify trends and insights
Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders
Strong data security and privacy knowledge and experience
benefits :
sharing the costs of sports activities
private medical care
life insurance
no dress code
parking space for employees
extra social benefits
redeployment package
employee referral program
charity initiatives
access to courses e.g. Excel, VBA, RPA, Customer Care
