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Data Infrastructure Specialist
4 hours ago
ACE Money Transfer is a leading digital payments provider that offers innovative solutions for individuals and businesses to send and receive money globally. We are seeking a highly skilled Data Warehouse Architect to join our team and contribute to the development of our data infrastructure.
Company Overview:
At ACE Money Transfer, we pride ourselves on being a customer-centric organization that provides fast, reliable, and secure payment services. Our mission is to empower individuals and businesses to succeed in an increasingly interconnected world by providing cutting-edge technology and exceptional customer service. To achieve this, we require a talented Data Warehouse Architect who can help us design, develop, and maintain robust data systems that support our growth strategy.
Key Responsibilities:
- Design, develop, and maintain large-scale data pipelines and ETL processes using tools like Spark, Kafka, or other cloud-native solutions.
- Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to facilitate data-driven decision-making and optimize efficient processing of large-scale data.
- Implement real-time data processing pipelines using tools such as Kafka, Spark Streaming, or Flink to handle continuous data streams effectively.
- Design and implement big data solutions to process billions of event records, ensuring workflows are optimized for efficiency and scalability.
- Work closely with stakeholders to understand data requirements and design appropriate data models and database schemas that meet business needs.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- At least 5 years of proven experience in data warehouse and platform infrastructures, big data technologies, and large-scale data processing and ETL pipelines.
- Hands-on experience with cloud computing platforms like AWS, Azure, or GCP.
- Strong experience with SQL and database technologies, including relational databases, SQL queries, and data modeling.
- Proven experience with big data solutions and technologies such as Hadoop, Hive, and distributed systems.
- Experience with distributed and NoSQL database environments such as Cassandra, MongoDB, or HBase.
Benefits:
As a valued member of our team, you will have access to a range of benefits, including professional development opportunities, flexible working arrangements, and a competitive salary package.
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