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Senior IT Data Engineer
hace 4 meses
Responsibilities may include the following and other duties may be assigned.
Build and maintain optimal data pipeline architectures pulling data from multiple data sources/systems, landing it on our Snowflake-based data platform and transforming it for analytics consumption. Assemble large and complex data sets using data-transformation technologies that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, and re-designing the data platform for greater scalability. Build data pipelines required for optimal extraction, transformation, and loading of data from multiple sources using a variety of data platforms and data technologies within the company, including but not limited to: Snowflake, Informatica Cloud, DBT, Coalesce, SAP BW, SAP BO, and S3 buckets. Work with a team of Data Analysts, Data Scientists and Data Architects to execute data analytics projects across multiple regions and businesses. Must Have: Minimum Requirements Bachelor's degree in computer science, Systems Engineering or related field. 2 years of proven work experience as a Data Engineer (cloud preferred). Fluent in English level. Experience building and optimizing data platforms and pipelines using cloud-based data platforms. Proven experience building data transformation and data curation processes, including data-quality validation. Advanced knowledge and experience working with SQL-based relational databases, advanced query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analysis skills related to working with structured and unstructured datasets. A successful history of manipulating, processing and extracting value from large disconnected datasets. Good team player with strong organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages for building data transformation and data quality testing: Python, Java, C++, Scala, etc. Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Proficiency in at least one programming language (Python preferred) You like to experiment with new technologies and share your knowledge with others in inspiring presentations. You are proactive and keep a constant communication with the team members and the business partners. You have experience with CI/CD tooling: Azure DevOps, Git You have Experience with Test Automation. Nice to HaveSnowflake work experience is a plus. Experience with big data tools like Hadoop, Spark, Kafka is a big plus. Experience in Healthcare or Medical Devices industries is a big plus. Experience using Informatica Cloud and/or Informatica Power Center for building data pipelines is also a plus.
