Job Description

Roles & Responsibilities

About the Job

At Aspire, we're looking for a passionate and experienced Data Engineer to join our growing technology team. In this role, you'll design, build, and optimize scalable data platforms that power analytics, reporting, and business-critical decision-making. You'll collaborate with cross-functional teams to develop reliable, high-performance data solutions while leveraging modern cloud technologies and data engineering best practices.
What You'll Do

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  

• Build and optimize batch and real-time data processing workflows.
  

• Design and implement robust data models, data warehouses, and data lakes.
  

• Integrate data from multiple sources, including APIs, databases, cloud services, and third-party applications.
  

• Ensure data quality, consistency, integrity, and security across the organization's data platforms.
  

• Optimize the performance of data pipelines, SQL queries, and large-scale data processing systems.
  

• Collaborate with Analytics, Business Intelligence, and Data Science teams to deliver trusted datasets for reporting and insights.
  

• Work closely with Software Engineering and DevOps teams to build reliable and scalable data infrastructure.
  

• Implement monitoring, logging, and alerting to ensure data pipeline reliability and operational excellence.
  

• Participate in designing and evolving the organization's data architecture and engineering standards.
  

• Mentor junior data engineers by sharing technical knowledge and promoting engineering best practices.
  

• Document data flows, architecture, and technical implementations to support knowledge sharing and maintainability.
  What You'll Need
  

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
    

  • 5+ years of experience in Data Engineering or a similar role.
    

  • Strong expertise in SQL and relational databases such as Oracle, PostgreSQL, SQL Server, and MySQL.
    

  • Hands-on experience with Apache Airflow, Apache Kafka, Apache Spark, or similar data engineering technologies.
    

  • Strong programming skills in Python, Java, or Scala.
    

  • Experience with cloud data warehouse solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
    

  • Strong understanding of ETL/ELT processes, data modeling, and data integration best practices.
    

  • Experience working with large-scale distributed data systems.
    

  • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
    

  • Experience using Git or other version control systems.
    

  • Strong analytical, problem-solving, and communication skills.
    

  • Experience with real-time streaming technologies such as Kafka, Flink, or Spark Streaming is a plus
    

  • Knowledge of modern data lake platforms, including Delta Lake and Databricks is a plus
    

  • Experience with Docker and Kubernetes is a plus
    

  • Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker is a plus
    

  • Experience implementing CI/CD pipelines for data engineering workflows is a plus
    

  • Understanding of data governance, security, privacy, and compliance practices is a plus
    

  • Experience working in Agile or Scrum environments.