-6+ years of experience in the software development area;

-Proven expertise in Data Warehousing and Data Analytics projects, encompassing data acquisition, transformation, and data science initiatives

-Exposure with modern data file formats such as Delta Tables, Apache Iceberg, and Parquet

-Proficiency in Python, Spark, DBT, and other data transformation tools and frameworks

Job Responsibilities:

• Expertise in data modelling, with familiarity in conceptual, logical, and physical data models, following methodologies like Data Vault 2.0 and Dimensional Modelling
• Experience with cloud data services such as Microsoft Intelligent Data Platform, AWS Data Services, or Google Cloud Data Analytics
• Hands-on experience with cloud data platforms like Databricks and/or Snowflake; certifications
• Skilled in data pipeline orchestration tools, including Azure Data Factory, AWS Glue, Apache Airflow, or Prefect
• Experience with CI/CD and MLOps pipelines to streamline development and deployment processes
• Proficient in Infrastructure as Code (IaC) for efficient infrastructure management
• Expertise in data migration, performance tuning, and optimisation of databases and SQL queries queries
• Understanding of Data Governance and Data Management concepts
• Understanding of design patterns, clean architecture, and clean coding principles
• Familiarity with unit, regression and E2E testing.