Cimpress India: Senior Data Engineer-Remote

This Senior Data Engineer role at Cimpress India requires advanced expertise in designing, building, and maintaining scalable data pipelines and architectures. Candidates are expected to have a strong foundation in data engineering principles, including ETL/ELT processes, data warehousing, and big data technologies. Proficiency with programming languages such as Python, Java, or Scala is essential for developing robust data solutions. Experience with distributed computing frameworks like Apache Spark or Hadoop is highly valuable for handling large datasets efficiently. Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and their data services is important for deploying and managing data infrastructure in a remote environment. The role demands a solid understanding of database systems, both relational (SQL) and NoSQL, to support diverse data storage needs. Strong skills in data modeling, data integration, and data quality assurance are critical to ensure reliable and accurate data delivery. As a senior-level position, candidates should demonstrate leadership in guiding data engineering projects, collaborating cross-functionally with data scientists, analysts, and software engineers, and mentoring junior team members. A bachelor's degree provides the foundational knowledge necessary for this role, while the substantial experience level indicates deep practical expertise and problem-solving capabilities in complex data environments. Overall, this position is suited for a seasoned data engineer who can architect and optimize data workflows, leverage modern data technologies, and contribute strategically to Cimpress India's data-driven initiatives.