Data Analyst

Timișoara, Romania
Sursa : Just Join IT
Această ofertă de locuri de muncă nu este disponibilă în țara dvs.

Java (nice to have)

Big Data (nice to have)

SQL (advanced)

For out client from pharmaceutical sector we are looking for Data Analyst.

What will you be doing?

  • Designing databases and modeling data to support connection of new data sources.
  • Profiling data from new sources and defining transformation rules.
  • Checking quality of the data and investigating issues.
  • Providing support in user acceptance testing of new deliverables.
  • Creating detailed documentation of key data assets and transformation processes.
  • Producing reports and presentation to deliver accurate information to the team.
  • Contributing to process improvements, automation and standardization.

What is required to get the job done?

  • Ability to build full understanding of our data and system components.
  • 2+ years of experience in Data Analyst role.
  • Solid experience in data analysis, profiling, integration and reporting.
  • Very good knowledge about SQL (advanced level).
  • Experience in database design and data modeling.
  • Analytical and troubleshooting skills.
  • Strong focus on details.
  • Ability to explain complex problems in easy-to-understand way.

Nice to have :

  • Experience with Big Data technologies.
  • Knowledge of Java or Scala.
  • Previous experience with healthcare / pharmaceutical data.

What are we building?

  • Data platform to integrate, manage and curate complex medical data sets.
  • ETL solutions to process data from multiple disparate sources (spanning different countries, languages and compliance requirements).
  • Master data management tool specialized on the governance of electronic medical records (EMR) reference dimensions (diagnosis, posology, laboratory & test values, doctors, products).
  • Privacy Hub that ensures patient data anonymization according to EU regulations.
  • Business Intelligence solutions at the top of data we managed .

What technology are we using?

  • Data Engineering : Cloudera Data Platform, Databricks, Hadoop, Hive, Kudu, Spark, Kafka, Camunda, Scala, Java.
  • Web application development : Java, C#, Angular, Oracle, Elasticsearch, Kafka.
  • Testing : Python, Robot Framework.
  • Cloud : Microsoft Azure.
  • Containerization : Docker, Kubernetes.
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