Senior Big Data Engineer at IQVIA in Warsaw, Poland. You will design, develop, and support data engineering solutions for healthcare data, focusing on profiling data to understand characteristics, owning the solution design, and ensuring successful deployment and operation of the platform in production. Our platform processes over a billion records, building data pipelines for loading and processing healthcare data, including mapping drug and diagnosis data to standard coding frames. You will work with the Systems Engineering team within Global Infrastructure & Operations, collaborating with Architects and QA in an Agile environment. Responsibilities include mentoring junior and mid-level engineers, delegating tasks, delivering workstreams on time, conducting peer code reviews, defining technical standards, and creating automated unit and integration tests. Qualifications include 6+ years in data engineering with SQL, Python, and Scala; strong Databricks experience; Big Data batch processing and Azure; Delta/Parquet; ETL design; data profiling, data quality, data warehousing; CI/CD (Jenkins/GitLab); and desirable experience with Agile, healthcare data, data modelling, and large data volumes. This role offers multi-terabyte databases, quarterly planning, technical training, and opportunities to participate in conferences; base pay range zł188,700 – zł350,200 per year, with additional benefits.
Senior Big Data Engineer at IQVIA in Warsaw, Poland. You will design, develop, and support data engineering solutions for healthcare data, focusing on profiling data to understand characteristics, owning the solution design, and ensuring successful deployment and operation of the platform in production. Our platform processes over a billion records, building data pipelines for loading and processing healthcare data, including mapping drug and diagnosis data to standard coding frames. You will work with the Systems Engineering team within Global Infrastructure & Operations, collaborating with Architects and QA in an Agile environment. Responsibilities include mentoring junior and mid-level engineers, delegating tasks, delivering workstreams on time, conducting peer code reviews, defining technical standards, and creating automated unit and integration tests. Qualifications include 6+ years in data engineering with SQL, Python, and Scala; strong Databricks experience; Big Data batch processing and Azure; Delta/Parquet; ETL design; data profiling, data quality, data warehousing; CI/CD (Jenkins/GitLab); and desirable experience with Agile, healthcare data, data modelling, and large data volumes. This role offers multi-terabyte databases, quarterly planning, technical training, and opportunities to participate in conferences; base pay range zł188,700 – zł350,200 per year, with additional benefits.
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