Data Engineer Specialist
2 days ago
We are seeking an experienced Data Engineer to join our team at Janus Soft Inc. As a key member of our data engineering team, you will be responsible for designing, implementing, and maintaining large-scale data systems. This role requires strong technical skills, including proficiency in ETL tools, Python, AWS, SQL, APIs, Linux, and geospatial tools/data.
The ideal candidate will have a strong background in data engineering, with experience in extracting, transforming, and loading (ETL) data from various sources into enterprise-level systems. They will also possess excellent problem-solving skills, with the ability to collaborate with cross-functional teams to identify and implement data-driven solutions.
If you are a skilled data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity
About the Role:
The primary responsibility of this role is to design, develop, and maintain scalable data infrastructure, ensuring high-quality data delivery across various business units. This includes developing and implementing data pipelines, integrating data from disparate sources, and performing data quality checks.
The successful candidate will work closely with the data science team to understand business requirements and provide data-driven insights to inform decision-making. Additionally, they will contribute to the development of best practices and standards for data engineering within the organization.
If you are passionate about data engineering and want to make a meaningful impact, we invite you to explore this opportunity further.
Requirements:
- Required Skills:
- Proficiency in ETL tools, such as Informatica PowerCenter or Talend
- Strong knowledge of programming languages, including Python and SQL
- Experience with cloud-based platforms, specifically Amazon Web Services (AWS)
- Familiarity with operating systems, particularly Linux
- Understanding of geospatial tools and data - Desired Skills:
- Knowledge of Docker, Jenkins, Hadoop/Spark, Kibana, Kafka, NiFi, and ElasticSearch
- Experience with data warehousing and business intelligence tools
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