Senior yst
2 months ago
Whatyoulldo
- Design/implementcomplex and scalable enterprise data processing and BI reportingsolutions.
- Build andoptimize ETL pipelines for data integration and enhance datawarehouse systems through architecturalreviews.
- Ensure strictdata compliance security and costoptimization.
- Rearchitectdata solutions for scalability reliability andresilience.
- Managedata schemas and flow to ensure compliance integrity andsecurity.
- Deliverendtoend data solutions across multiple infrastructures andapplications.
- Buildstrong partnerships with other teams to create valuablesolutions.
Qualifications
- 1.5to 2.5 years of experience in data engineering role with anengineering degree inbackground.
- Proficientin ETL/ELT pipelineimplementation.
- Extensiveexperience with handling large data and maintaining data quality.Automating ETLpipelines.
- Knowledgeof data warehouses (Redshift Snowflake DatabricksCloudera).
- Proficientin Python scripting PySpark andSpark.
- Experience withdata ingestion storage andConsumption.
- Skilledin SQL and data schemamanagement.
- Domainknowledge of the pharma landscape is a musthave.
sql,tableau,dataengineering,cloud,data quality maintenance,datawarehouse,aws,azure,python scripting,spark,etl,python,large datahandling,etl/elt pipeline implementation,pyspark,pharma domainknowledge,data schema management
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