... way to addressed them (performance, data volume, data discrepancies or mismatches, operational costs, ... development experience and practice with data management, data storage, data modeling, data analytics, data migration, and database designExpert hands- ...
... backbone of the Customers analytical data platform. As a key figure in our team, youll implement and deliver high-performance data processing solutions that are efficient and ...
... Techniques: Explore and implement advanced data processing techniques using Databricks and SparkQuality ...
... Python containers)Basic knowledge of data processing using SQLExperience with ETL processes and awareness of methodologies like Data Vault 2.0Knowledge of Infrastructure ...
... scarce agricultural resources.ResponsibilitiesDevelop data science solutions for forecasting Accounts ... -accuracy modelsUtilize Python for data analysis and modelingApply different machine ... Tableau, Sage Maker, Azure ML, Data Bricks, KNIME, Alteryx, SAP BW, ...
... for developing and maintaining data platforms and integrating different data sources into them. A senior candidate with excellent skills in Data Software Engineering will be the ... API, Oracle Cloud and Salesforce Data Integrations, Java or Scala, and ...
... DBTExperience with Snowflake and building data processing frameworksFamiliarity with testing, CI CD, ... fieldNice to haveExperience with other data processing technologiesContributions to open-source projectsCertifications ...
... expertise — applyResponsibilitiesEnsure data quality by performing data quality assessments with the data available in the main applicationConduct regression testing to validate data quality and identify ... Data Quality Engineering1+ years of relevant ...
... and K8s operationsImplement and maintain data solutions on AWS Cloud using Redshift and SnowflakeUtilize Spark for data processing and streaming technologies like Kafka ...
... pipelines, large batch micro batch processing and streaming systemsBuild out the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ADF, Spark, Kafka, ...