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3 days ago
We are seeking a seasoned Senior Data Engineer to design and implement scalable, reliable, and high-performance data processing pipelines to extract, transform, and load data from various systems.
This is an exciting opportunity for a highly skilled professional to join our team and contribute to the development of cutting-edge data solutions.
Key Responsibilities:- Collaborate with stakeholders to understand business processes and requirements, ensuring seamless data integration and analysis.
- Design and implement dimensional and fact tables, identify and implement data transformation/cleansing requirements, and develop conceptual, logical, and physical data models with associated metadata.
- Develop highly scalable and reliable data processing pipelines using GCP and Google BigQuery, ensuring efficient data extraction, transformation, and loading.
- Provide research and high-level design for data transformation and integration from source applications to end-user BI solutions, driving business value through data-driven insights.
- A degree in Computer Science or a related field, or equivalent experience in data warehousing, data engineering, or data integration projects.
- At least 3 years of experience in designing and implementing data processing pipelines, with a strong background in SQL and relational databases.
- Expertise in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function, and GCS.
- Familiarity with AWS and Azure Cloud platforms.
- Experience in integrating data from various sources, including APIs, XML, and JSON formats.
- Knowledge of SDLC, Agile, and Scrum methodologies.
- An opportunity to work on challenging projects that drive business growth and innovation.
- A collaborative and dynamic work environment that fosters learning and professional development.
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