Software Engineer – Data

2 weeks ago

Limerick, Limerick, Ireland SOLAS IT RECRUITMENT Full time

Position: Software Engineer
Department: Data Engineering & Analytics
Employment Type: Full-time

Role Overview

We are seeking a highly skilled and motivated Software Engineer with strong expertise in data engineering and analytics. The ideal candidate will have hands-on experience with modern data lake architectures on Azure or AWS platforms, with a particular focus on the Azure stack. This role will involve designing, developing, and optimizing data pipelines, enabling advanced analytics, and leveraging scalable big data solutions.

Key Responsibilities
  • Design, build, and maintain robust, scalable, and efficient data pipelines for ETL/ELT processes.
  • Develop and manage data lake architectures using Azure or AWS, ensuring high availability, performance, and security.
  • Implement and optimize data solutions using Databricks, Azure Data Factory, Delta Lake, and other modern tools.
  • Collaborate with analytics and data science teams to enable access to curated datasets and insights.
  • Implement and manage NoSQL databases and big data processing frameworks like Apache Spark.
  • Develop and document best practices for ETL patterns, data modeling, and governance.
  • Monitor, troubleshoot, and improve the performance of data workflows and systems.
  • Stay updated on emerging data engineering technologies and contribute to the adoption of innovative solutions.
Required Skills & Experience
  • Proven experience in data engineering and analytics roles, with a focus on cloud-based platforms.
  • Expertise in working with Azure or AWS ecosystems. Strong preference for Azure, including:
    • Azure Data Factory
    • Azure Databricks
    • Delta Lake
    • Azure Synapse Analytics (optional but beneficial)
  • Proficiency in big data technologies like Apache Spark and Delta Lake.
  • Strong experience with NoSQL databases (e.g., CosmosDB, MongoDB, DynamoDB).
  • Solid understanding of ETL/ELT patterns and hands-on implementation experience.
  • Proficiency in programming languages such as Python, Scala, or SQL for data manipulation and pipeline development.
  • Familiarity with modern data governance and security practices.
  • Excellent problem-solving skills and attention to detail.
Preferred Qualifications
  • Experience with Azure Data Explorer or Stream Analytics.
  • Familiarity with DevOps practices, including CI/CD pipelines for data workflows.
  • Knowledge of data modeling and data warehouse design principles.
  • Hands-on experience with real-time data processing and event-driven architectures.
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