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Data Engineer
BAMM
๐บ๐ธ United States
Hybrid
Staff / Principal
1 month ago
- Django
- ETL
- Python
- SQL
- AWS Glue
- Azure Data Factory
- Azure Cloud
- REST API
- Agile
- NoSQL
- Azure Databricks
- Delta Lake
- PySpark
- Git
1 month ago
Summary:
Builds systems that gather, store, and process large volumes of data for analysis.
Responsibilities:
- Develop ETL pipelines, ensure data quality, optimize data storage solutions. Skills: Python, SQL, cloud data tools experience (e.g., AWS Glue, Azure Data Factory).
- Lead the development of backend systems using Django.
- Design and implement scalable and secure APIs.
- Integrate Azure Cloud services for application deployment and management.
- Collaborate with front-end developers, product managers, and other stakeholders to deliver comprehensive solutions.
- Conduct code reviews and ensure adherence to best practices.
- Mentor and guide junior developers.
- Optimize database performance and manage data storage solutions.
- Ensure high performance and security standards for applications.
- Participate in architecture design and technical decision-making.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in backend development.
- 10+ years of experience with Django.
- Proven experience with Azure Cloud services.
- Candidate should demonstrate strong commitment, a proactive mindset, and a clear sense of ownership in delivering outcomes.
- Strong understanding of RESTful APIs and web services.
- Excellent communication and problem-solving skills.
- Familiarity with Agile methodologies.
- Experience with database management (SQL and NoSQL).
- Skills: Django, Python, Azure Cloud, Azure Databricks, Delta Lake and Delta tables, PySpark, SQL/NoSQL databases, RESTful APIs, Git, and Agile methodologies
Data Engineer ยท BAMM