
Transformation Data Engineer
7 days ago
An exciting opportunity to transform data into actionable insights exists within our organization. This role involves working collaboratively with a team to design and develop data engineering solutions that cater to advanced analytical use cases.
Key Responsibilities:
- Transform design and product vision into working solutions for end users, fostering a culture of sharing, reuse, scale stability, and user-first design.
- Design, develop, optimize, and maintain data engineering solutions for analytical use cases including architecture, data products/pipelines, and infrastructure using industry best practices.
- Stay up to date with new techniques and apply evolving industry standards to individual projects.
- Support continuous team growth.
- Previous experience working on data engineering solution delivery with collaboration with other teams.
- Previous data, software or system engineering experience.
- Proficiency in Python is a must.
- Data pipeline architecture and ELT/ELT processes knowledge.
- Knowledge of data modelling principles.
- Familiarity with relational databases and data warehousing concepts.
- Exposure to big data tools frameworks such as Spark, Hadoop etc.
- Familiarity with either Databricks or other cloud technologies such as Azure, AWS, GCP.
- Knowledge on version control systems and collaborative development workflows.
- Awareness of data governance principles such as data quality and data lineage.
- Hybrid work and flexible leave options including birthday leave.
- Family Inclusive Workplace accredited employer, supporting balance, care and flexibility in every career.
- Overall satisfaction in Advanced Analytics team employee survey for last two years are both more than 90%, most highlighted keywords from current employee survey about team includes "Recognition, supported and collaboration"
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