Senior Data Engineer
3 days ago
A Senior Data Engineer - Cloud Architect at Algoleap is responsible for designing, building, and maintaining data pipelines using primarily Python programming language to extract, transform, and load (ETL) data from various sources into a usable format for analysis.
Key Responsibilities:- Data Pipeline Development: Design and implement robust data pipelines using Python to extract data from different sources (databases, APIs, flat files), transform it as needed, and load it into data warehouses or data lakes.
- ETL Process Automation: Write Python scripts to automate data cleansing, aggregation, and manipulation tasks within ETL pipelines.
- Data Quality Assurance: Develop and implement data quality checks to ensure data accuracy and consistency throughout the pipeline.
- Database Management: Interact with relational and NoSQL databases using SQL queries to retrieve, store, and manage data.
- Cloud Integration: Utilize cloud platforms like AWS, Azure, or GCP to build and manage scalable data infrastructure.
- Big Data Processing: Leverage distributed computing frameworks like Apache Spark to process large volumes of data efficiently.
This role requires strong proficiency in Python libraries like Pandas, NumPy, and potentially Scikit-learn. The ideal candidate will have experience with data warehousing concepts and tools, data engineering tools, and cloud computing platforms.
Benefits:- Competitive Salary: $120,000 - $180,000 per year, depending on experience.
- Career Growth Opportunities: Work with a team that values innovation, automation, and continuous improvement.
- Flexible Work Options: Onsite and hybrid roles available.
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