Retired.com is a fintech company focused on data-driven solutions, and they are seeking a Data Engineer to support the design and maintenance of scalable data infrastructure. The role involves building reliable data pipelines, collaborating with cross-functional teams, and ensuring data quality and performance.

Responsibilities:

Design, develop, and maintain scalable data pipelines that support ingestion, transformation, and storage of structured and unstructured data
Build and maintain data ingestion processes from multiple sources including APIs, third-party platforms, and internal systems
Collaborate with data engineers, analysts, and product teams to understand data requirements and deliver reliable data solutions
Monitor, optimize, and troubleshoot existing data pipelines to ensure performance, reliability, and data accuracy
Develop and maintain documentation for data schemas, pipeline architecture, and data engineering processes
Perform data profiling and exploratory data analysis to support data modeling and engineering initiatives
Contribute to the implementation of data governance, security, and compliance practices in alignment with company policies and regulatory requirements
Support continuous improvement of data infrastructure by identifying opportunities to enhance scalability, efficiency, and maintainability

Requirements:

Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field
4 years of experience in data engineering, data analytics, software engineering, or a related technical role (internships or academic projects may be considered)
Experience with relational databases and strong proficiency in SQL
Proficiency in at least one programming language commonly used in data engineering, such as Python, Java, or Scala
Understanding of data warehousing concepts and ETL/ELT pipeline development
Familiarity with cloud-based platforms such as AWS, Google Cloud Platform, or Azure
Exposure to distributed data processing tools such as Apache Spark, Kafka, or Airflow is a plus

Retired.com

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Engineering

Data Engineer