Senior Data Pipeline Developer
1 week ago
About the Role:
In this senior role, you will collaborate with cross-functional teams to understand data requirements and deliver robust solutions. Your key responsibilities will include:
- Designing, developing, and maintaining scalable data pipelines and infrastructure to support data processing, analytics, and machine learning applications.
- Collaborating with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and deliver robust solutions.
- Implementing ETL processes to extract, transform, and load data from various sources into data warehouses and lakes.
- Optimizing performance and efficiency of data workflows and storage systems.
- Ensuring data quality and reliability through monitoring, testing, and troubleshooting.
About You:
To be successful in this role, you should have a bachelor's or master's degree in computer science, engineering, or a related field. A minimum of 3-6 years of professional experience in data engineering or related roles is required. You should possess strong experience with ETL (Extract, Transform, Load) processes and tools, as well as hands-on expertise in big data technologies such as Hadoop and Spark. Additionally, you should have proficiency in at least one programming language, preferably Scala, and experience with cloud platforms such as AWS and Azure. Strong problem-solving skills and attention to detail are also essential. Finally, excellent communication and collaboration skills are required to work effectively with cross-functional teams.
Compensation:
The estimated salary for this role is $140,000 - $200,000 per annum, based on your qualifications and experience.
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