Job Description:

You will work closely with data scientists, analysts, and other stakeholders to understand data needs and provide data engineering support.
You will collaborate with data architects and stakeholders to design and implement cloud-based data solutions that meet business requirements.
You will build, test, and deploy scalable data pipelines to ingest, process, and transform data from various sources.
You will Implement automation and orchestration of data workflows to enhance efficiency and reliability.
You will analyze and communicate issues, including problems with data integrity, data design, and functional and technical software issues.
You will create and maintain comprehensive documentation for data engineering processes, workflows, and configurations.

Requirements:

Bachelor’s degree and above in Computer Science, Software Engineering or similar
Minimum 5 years of related working experience with cloud data warehouse technologies, preferably Snowflake and/or Databricks
Hands-on experience in data warehouse modelling preferably with data vault 2.0 and/or star schema
In-depth understanding of relational databases (SQL) and ETL (Extract, transform, load) frameworks
Experience in data staging with SQL and Python
Experience in data visualization tools preferable PowerBI
Experience in data integration tools like Apache Nifi, Theobald Universal Xtract, Azure Data Factory
Experience in orchestration of data pipelines with dbt and Apache Airflow
Good understanding of agile methodologies like SCRUM.
Excellent organizational skills with the ability to communicate project goals and objectives, project status and deliverables with senior executives. Participate with the management team in developing a vision and strategic plan to guide the organization.
Problem-solving attitude and excellent communication skills
Fluent English.
Experience working in a global organization.

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