Data Engineer

Job SummaryWe are seeking skilled and motivated Data Scientists with 4+ years of experience in data science with good domain understanding. The ideal candidate will have a strong foundation in data science concepts, proficiency in analytical tools, and the ability to translate data insights into actionable business recommendations. This role requires a blend...

About The RoleWe are looking for a talented and motivated Senior Data Analyst to join our Marketing and Product Analytics teamIn this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functionsThis is a fantastic opportunity to apply your...

Key Responsibilities.Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation.. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins)...

About The Role- We are looking for a talented and motivated Senior Data Scientist to join our Marketing and Product Analytics team- In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions- This is a fantastic opportunity to apply...

Make an impact with NTT DATAJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive.Your day at NTT DATAAs a...

Key Skills: Google Cloud Platform, Data Engineer, Data EngineeringRoles and Responsibilities:Design and implement scalable data pipelines and ETL/ELT workflows using GCP-native tools.Develop and optimize relational and non-relational databases for performance and reliability.Build and manage data lakes and warehouses using BigQuery, Cloud Storage, and...

Company DescriptionCalderys is a leading global provider specializing in thermal protection for industrial equipment in high-temperature conditions. The company offers a wide range of refractory products and advanced solutions to enhance steel casting, metallurgical fluxes, and molding processes. With a presence in more than 30 countries, including a strong...

Key Skills: Azure, Data EngineerRoles and Responsibilities:Design and implement scalable data pipelines and ETL/ELT processes using Azure Data FactoryDevelop and optimize relational and non-relational databases for performance, scalability, and reliabilityBuild and manage data lakes and data warehouses using Azure Synapse Analytics, Data Lake Storage, and...

Role & responsibilitiesAssist in data collection, cleansing, and preparation from various sources.Support basic data modeling and documentation efforts.Develop and maintain simple data pipelines using tools like Azure Data Factory (ADF).Write and optimize queries using SQL.Use Python or PySpark scripts to perform data transformations.Perform data validation...

Key Skills: AWS, Data EngineerRoles and Responsibilities:Architect and develop data pipelines using AWS services.Design and optimize relational and non-relational databases.Implement ETL/ELT processes using AWS Glue, Lambda, and other tools.Manage data lakes and warehouses (e.g., S3, Redshift, Athena).Collaborate with data scientists, analysts, and business...