Data Engineer with Cloud Expertise
1 week ago
At Algoleap, we're revolutionizing the digital landscape for Fortune 1000 customers. As a data engineer, you'll be at the forefront of this transformation.
We're looking for a talented Python developer to join our team and contribute to building scalable data infrastructure using cloud platforms like AWS, Azure, or GCP. If you have expertise in designing, building, and maintaining data pipelines using Python, this is your chance to shine.
Key Responsibilities:- Design and implement robust data pipelines using Python to extract data from various sources (databases, APIs, flat files), transform it as needed, and load it into data warehouses or data lakes.
- Write Python scripts to automate data cleansing, aggregation, and manipulation tasks within ETL pipelines.
- Develop and implement data quality checks to ensure data accuracy and consistency throughout the pipeline.
- Interact with relational and NoSQL databases using SQL queries to retrieve, store, and manage data.
- Expert proficiency in Python, including libraries like Pandas, NumPy, and potentially Scikit-learn.
- Strong SQL skills to query and manipulate data in relational databases.
- Understanding of data warehousing concepts and tools (e.g., Redshift, Snowflake).
- Familiarity with data pipeline orchestration tools (e.g., Apache Airflow).
- Knowledge of cloud platforms (AWS, Azure, GCP) and related data services.
- Experience with distributed computing frameworks like Apache Spark (preferred).
As a member of our team, you'll enjoy a competitive salary and benefits package, career growth opportunities in an expanding engineering organization, and the chance to work with cutting-edge technology in a collaborative and fast-paced environment.
Estimated annual salary: $120,000 - $150,000 depending on experience and location.
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