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Data Engineer
Skills
Computer ScienceSQLVersion Control ToolsWarehouse OperationsAnalytical SkillsApache KafkaApache Spark
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Information Technology Engineering or related field
- 5+ years of experience as a Data Engineer or similar role
- Strong proficiency in SQL and Python
- Experience with ETL/ELT tools and data integration frameworks
- Hands-on experience with cloud platforms such as AWS Azure or Google Cloud Platform
- Experience with data warehousing solutions such as Snowflake Redshift BigQuery or Synapse
- Knowledge of big data technologies such as Spark Hadoop or Kafka
- Experience with version control tools such as Git
- Strong analytical and problem-solving skills
Day to day
- Design, develop, and maintain scalable ETL/ELT data pipelines to power analytics and reporting.
- Build and optimize data architectures, databases, and data warehouses for reliable performance and growth.
- Integrate data from multiple sources while ensuring quality, consistency, and dependable data workflows.
- Collaborate with analysts, data scientists, and stakeholders to translate business needs into robust data solutions.