Provide in-depth knowledge of GCP data services (BigQuery, Cloud Storage, Dataflow, etc.).
Design and optimize complex data pipelines for efficient data ingestion, transformation, and analysis.
Data Engineer will have responsibility for development & testing of the data integration/message integration mappings through an integration tool.
Partner with product management group and other business stakeholders to gather requirements, translate them into technical specifications, and design effective data transformation mappings.
Design and develop complex data models.
Advocate for best practices in data governance, security, and compliance on GCP.
Collaboration & Mentorship :
Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and drive data-driven decision-making.
Mentor and guide junior team members on GCP technologies and BI best practices.
Foster a culture of innovation and continuous improvement within the data and BI domain.
Your skills and experience
Hands-on development e xperience in designing and implementing complex data pipelines and other data engineering/modelling work using Python .
Proven expertise in Google Cloud Platform (GCP) and its data services (Dataflow, BigQuery, Cloud Storage etc.).
Excellent knowledge of SQL and NOSQL databases.
Experience in developing, maintaining and publishing the logical and physical data models
Excellent understanding in concepts of data lineage, data profiling and analysis.
Knowledge of data modelling tools like PowerDesigner will be a plus.
Experience working in a fast-paced and Agile work environment.
Working knowledge of public cloud environment.
Strong analytical and problem-solving skills
Proficient in communication skills (written/verbal)
4-9 years of experience
How we ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs