Data Engineer

Independently develop and optimize complex data pipelines, ensuring smooth data flow across multiple domains. Utilize complex SQL querying techniques to extract, manipulate, and analyze data for various business needs. Confidently use programming languages such as Java or Python to write classes, functions, and apply object-oriented programming principles, along with basic unit testing. Guide junior Data Engineers on tasks and best practices, effectively delegating to promote team growth. Understand business issues, create data-driven solutions, and present them to stakeholders, ensuring alignment with goals. Identify optimization opportunities in data systems, plan implementations, and develop risk mitigation strategies. Work with stakeholders and teams to drive data initiatives, providing leadership and contributing to the organization’s data strategy. Qualifications

Relevant academic degree in any technical fieldinBSc, BE or a related field 3-6 years of working experience in Data Engineering with strong experience in SQL, Python, or similar languages Proficient in data modelling, warehousing, pipeline development, and documentation Experience with production methodologies, software development principles, and Agile practices Understanding of business needs related to the product scope Deep understanding of cloud technologies and cloud development, as well as ability to select appropriate(cost-effective) tools for different tasks Have a collaborative and co-creative mindset with excellent communication skills Motivated to work in an environment that allows you to work and take decisions independently Experience in working with data visualization tools Fluent in English both written and verbal Consultant is expected to have Cloud certification at latest 1 month after start, if not already certified.