
Chief Data Architect
7 days ago
Job Opportunity: Data Engineer
Achieve success in our organization as a skilled Data Engineer.
Experience Required:
- 3-5 years of experience in data engineering, distributed systems, and cloud computing.
Responsibilities:
- Design and implement large-scale ETL pipelines using Apache Spark and Hadoop.
- Develop production-ready data engineering solutions with Python, Pandas, and NumPy.
- Collaborate with cross-functional teams to deliver scalable data architectures.
- Perform data lake and data warehouse management tasks.
Requirements:
- Proficient in Python (including popular packages like Pandas and NumPy) and SQL.
- Strong background in distributed data processing and storage (e.g., Apache Spark, Hadoop).
- Large scale data engineering skills - model data, create production-ready ETL pipelines.
- Development experience with at least one cloud platform (Azure highly preferred, AWS, GCP).
- Knowledge of data structures and algorithms and good software engineering practices.
- Experience with code version control (e.g., Git).
Nice to Have:
- Experience with Azure Databricks.
- Knowledge of DevOps and ETL pipeline orchestration tools (e.g., GitHub actions, Terraform, Databricks workflows, Azure DevOps).
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