Key skills
AWSCloudEC2ETLHadoopJavaPySparkPythonSQLAIELTData EngineeringData WarehousingDatabricksdbtLambdaS3GlueAgileCI/CD
About this role
Role Overview
- Join our dynamic team as a Senior Data Engineer
- Design, develop, and manage robust CI/CD pipelines
- Perform data mapping, and integration between diverse source and target systems
- Build and optimize Data & AI solutions
- Develop high-quality, production-level code primarily in Python, PySpark, and SQL
- Implement enterprise-scale production deployments
- Collaborate effectively within Agile teams
- Maintain data integrity and compliance
Requirements
- 3-5 years of relevant experience
- Extensive experience in building data ingestion frameworks and scalable data pipelines
- Proven expertise in AWS cloud services including S3, EC2, Glue, Lambda, and Secrets Manager
- Hands-on experience with Databricks
- Proficient in DBT
- Strong programming skills in Python, PySpark, and SQL
- Minimum 3 years of experience working in large data warehousing environments
- At least 3 years of experience with data warehouse architectures, ETL/ELT processes, and reporting tools
- Experience in Python and/or Java development in data engineering contexts
- Familiarity with Big Data ecosystems including EMR, Hadoop, Databricks, Hive, and Pyspark
Tech Stack
- AWS
- Cloud
- EC2
- ETL
- Hadoop
- Java
- PySpark
- Python
- SQL
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events