Data engineer

• Assist in building a data platform to support reporting tools and analytics.
• Focus on optimising data models for performance.

• Create data tools for analytics and optimise data models.
• Evaluate and communicate the pros and cons of different modelling approaches.

• Design and build production data pipelines within a big data architecture.
• Utilise continuous delivery practices for deploying, supporting, and operating data pipelines.

• Gain a thorough understanding of data enterprise applications such as unified ID, DE-duplication, classification, and aggregation models.
• Identify and prioritise the source of truth for data.

• Integrate data quality practices into day-to-day work and the delivery process.
• Ensure data quality is maintained throughout the data life cycle.

• Hand on experience in designing database schema covering all use cases
• Evaluate and suggest suitable database considering pricing and deployment

Requirements :

• Min 5+ yrs experience as Data Engineer
• Experience in SQL, Python and PySpark Notebook programming skills.
• Need to be able to work through ETL and need to have an understanding of Data Warehousing ETL and reporting.
• Exposure to Fabric, Synapse Analytics Notebooks or Databricks is required.
• Excellent communication and interpersonal skills.
• Direct Interactions with client
• Design relational, multidimensional, and Master data management systems