- 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.
- 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.
- Global Collaboration Opportunities on New Exciting Projects
- Flexible and Hybrid Working Mode
- Diversified, Rewarding & Supportive Workplace
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