Data Engineer – Core Python
1 week ago
Position: Data Engineer – Core Python (MT610FT RM 3738)
Job Summary
We are seeking a highly skilled Data Engineer with a strong background in Python to join our dynamic team. The ideal candidate will have 6 to 10 years of experience in data engineering, with a proven track record of designing, building, and maintaining scalable data pipelines and architectures. You will play a crucial role in transforming raw data into actionable insights, enabling data driven decision making across the organization.
Skills Core Python + good to have PySpark
Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes to support data ingestion and transformation.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high quality data solutions.
- Implement data models and architectures that support analytics and reporting needs.
- Optimize data storage and retrieval processes for performance and scalability.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Monitor and troubleshoot data pipeline performance, implementing improvements as necessary.
- Stay updated with industry trends and best practices in data engineering and related technologies.
- Document data processes, architectures, and workflows for knowledge sharing and compliance.
Mandatory Skills
- Strong proficiency in Python, with experience in data manipulation libraries such as Pandas and NumPy.
- Extensive experience with SQL and relational databases (e.g., PostgreSQL, MySQL).
- Hands on experience with data warehousing solutions and ETL tools.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Strong understanding of data modeling concepts and best practices.
- Excellent problem solving skills and attention to detail.
Preferred Skills
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning concepts and frameworks.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience with version control systems (e.g., Git).
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 6 10 years of experience in data engineering or a related field.
- Proven track record of successful data projects and implementations.
- Strong communication skills and ability to work collaboratively in a team environment.
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