Key skills
AirflowAmazon RedshiftApacheBigQueryETLPySparkPythonData EngineeringData WarehousingSnowflakeRedshiftDatabricksApache Airflowdbt
About this role
Role Overview
- Competent data infrastructure development with limited coaching and guidance
- Pipeline Design and Development
- Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as dbt (Data Build Tool), Apache Airflow, or similar
- Automates data ingestion processes from various sources including databases, APIs, and third party services
- Data Storage and Management
- Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery.
Requirements
- PySpark
- Intermediate (4-6 Years)
- Python
- Intermediate
- Databricks
- Intermediate (4-6 Years)
- Snowflake
- Intermediate (4-6 Years)
- Datawarehouse/Data Engineering
Tech Stack
- Airflow
- Amazon Redshift
- Apache
- BigQuery
- ETL
- PySpark
- Python
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development