Data Engineer
New Yesterday
Job Description
Technical Expertise:
- Solid experience in Python programming, particularly using data manipulation and processing libraries such as Pandas, NumPy, and Apache Spark.
- Practical experience in designing, developing, and maintaining robust data ingestion pipelines.
- Demonstrated ability to optimize code efficiency, database queries, and system performance.
- Hands-on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow.
- Strong proficiency in SQL, including advanced query development and performance tuning.
- Good understanding of distributed computing principles and big data ecosystems.
- Familiar with version control tools (Git) and CI/CD automation pipelines.
- Experience working with relational databases such as PostgreSQL, MySQL, or equivalent platforms.
- Skilled in using containerization technologies including Docker and Kubernetes.
- Experience with workflow orchestration tools like Apache Airflow or Dagster.
- Strong grasp of data warehousing methodologies, including dimensional modelling and schema design.
- Understanding of cloud infrastructure management, preferably using Infrastructure-as-Code (IaC) tools and approaches.
- Familiar with streaming data pipelines and real-time analytics solutions.
- Location:
- City Of London
- Job Type:
- FullTime
- Category:
- Technology
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