About the Job

As a Senior Data Engineer at Aspire, you will be responsible for designing, building, and optimizing scalable data platforms that support analytics, reporting, and business-critical decision-making. You will develop robust data pipelines, manage cloud-based data solutions, and collaborate with cross-functional teams to deliver reliable, secure, and high-performance data architectures aligned with business objectives and modern 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.
  

• Awareness or knowledge of IT security best practices as defined by ISO / SOC or similar.
  

• Be part of a (Remote is here-to stay) organization
  
• Work and learn from great minds.
  
• Explore new opportunities to learn and grow everyday by attending technical and nontechnical training.
  
• Get market exposure by working with international tech leaders.
  
• Nursery reimbursement benefit.
  
• Attend virtual and onsite international tech conference.
  
• Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC.