Data Engineer
3 days ago
Job Title: Data Engineer
Location: Remote
Contract Terms: 3 Months with the potential to extend for more than a year
We are looking for a highly skilled and motivated Data Engineer with 4-8 years of experience to join our dynamic team. This role is ideal for individuals with advanced technical expertise in Python programming and relational databases, a strong background in data modeling and transformation, and the ability to process structured and unstructured data. The ideal candidate will thrive in a fast-paced, agile environment, collaborating effectively to develop features and solve complex problems.
- Design, develop, and maintain scalable data pipelines and systems.
- Process and transform large datasets from various sources while ensuring data integrity and quality.
- Build and optimize efficient queries for data retrieval and manipulation.
- Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
- Implement robust data models and structures to support business intelligence and analytics.
- Apply advanced Python programming techniques and leverage libraries like Pandas and NumPy to solve complex data challenges.
- Utilize relational databases and ORMs (e.g., SQLAlchemy) effectively for data management.
- Python Programming (Advanced):
- Comprehensive knowledge of syntax, semantics, multi-threading, multi-processing, regular expressions, and exception handling.
- Expertise in libraries such as Pandas and NumPy.
- ETL Pipelines:
- Proficiency in designing and implementing ETL pipelines for large-scale data projects.
- Object-Oriented Programming (OOP) (Intermediate):
- Understanding of classes, objects, inheritance, polymorphism, and encapsulation.
- Relational Databases (Advanced):
- Experience in query optimization, query building, and managing databases such as PostgreSQL, MSSQL, and Oracle.
- AWS Cloud Services:
- Familiarity with AWS tools relevant to data engineering, such as Athena and AWS Batch Jobs.
- Data Modeling and Transformation:
- Advanced expertise in processing structured and unstructured data.
- Data Structures and Algorithms:
- Proficient in manipulating arrays and lists, implementing searching and sorting algorithms.
- Experience with recursion and analyzing time and space complexity.
- Familiarity with web frameworks such as Django or Flask.
- Exposure to data science libraries like Scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience in big data projects and advanced data transformation techniques.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar capacity.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork capabilities.
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