SoftNice UG
Senior Data Engineer
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Role Description
This is a remote, contract role for a Senior Data Engineer. The Senior Data Engineer will design, build, and maintain scalable data pipelines, focusing on reliable Extract, Transform, Load (ETL) processes from various structured and unstructured data sources. Day-to-day activities include developing and optimizing data models, implementing and managing data warehousing solutions, and ensuring data quality, integrity, and security. The role involves collaborating with data analysts, data scientists, and business stakeholders to understand requirements and translate them into efficient data architectures. The Senior Data Engineer will also monitor performance, troubleshoot production issues, and continuously improve data infrastructure to support advanced analytics and reporting.
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Qualifications
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- Strong data engineering skills, including designing, building, and maintaining data pipelines.
- Proficiency in data modeling and data warehousing to support scalable and performant data architectures.
- Hands-on experience with Extract, Transform, Load (ETL) processes and tools for integrating diverse data sources.
- Experience in data analytics, including enabling reporting, dashboards, and insights for business stakeholders.
- Advanced knowledge of SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
- Experience with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data stack tools.
- Familiarity with big data technologies (e.g., Spark, Kafka, Hadoop) and workflow orchestration tools is beneficial.
- Strong understanding of data governance, data security, and best practices for data quality.
- Ability to work independently in a remote setup and collaborate effectively with cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
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