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Data Engineer
3 months ago
Job Description :
We are seeking a skilled Data Engineer with a strong foundation in Python, PySpark, or Alteryx to join our team.
The ideal candidate will have a proven ability to extract, transform, and load (ETL) data from various sources, build data pipelines, and implement data engineering best practices.
Responsibilities :
- Design, develop, and maintain data pipelines using Python, PySpark, or Alteryx.
- Extract, transform, and load data from various sources (databases, files, APIs) into data warehouses or data lakes.
- Optimize data pipelines for performance and efficiency.
- Implement data quality checks and monitoring.
- Collaborate with data analysts and data scientists to understand data requirements.
- Utilize orchestration tools to automate and schedule data pipelines.
- Explore and implement cloud-based data solutions (AWS, Azure, GCP).
Requirements :
- 3-5 years of experience as a Data Engineer.
- Proficiency in Python programming and experience with PySpark or Alteryx.
- Strong SQL skills and experience with database querying (DB2, SQL Server, Cloud DB).
- Knowledge of data warehousing and data modeling concepts.
- Experience with data orchestration tools (Kubernetes, Docker, AWS Cloud Formation, Azure Data Factory, Terraform, GCP, AKS, Azure Automation) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team