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About the role
Must Have Skills: - Solid Knowledge on DWH, ETL and Big Data Concepts - Excellent SQL Skills (With knowledge of SQL Analytics Functions) - Working Experience on any ETL tool i.e. SSIS / Informatica - Working Experience on any Azure or AWS Big Data Tools. - Experience on Implementing Data Jobs (Batch / Real time Streaming) - Excellent written and verbal communication skills in English, Self-motivated with strong sense of ownership and Ready to learn new tools and technologies Preferred Skills: - Experience on Py-Spark / Spark SQL - AWS Data Tools (AWS Glue, AWS Athena) - Azure Data Tools (Azure Databricks, Azure Data Factory) Other Skills: - Knowledge about Azure Blob, Azure File Storage, AWS S3, Elastic Search / Redis Search - Knowledge on domain/function (across pricing, promotions and assortment). - Implementation Experience on Schema and Data Validator framework (Python / Java / SQL), - Knowledge on DQS and MDM. Key Responsibilities: - Independently work on ETL / DWH / Big data Projects - Gather and process raw data at scale. - Design and develop data applications using selected tools and frameworks as required and requested. - Read, extract, transform, stage and load data to selected tools and frameworks as required and requested. - Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc. - Work closely with the engineering team to integrate your work into our production systems. - Process unstructured data into a form suitable for analysis. - Analyse processed data. - Support business decisions with ad hoc analysis as needed. - Monitoring data performance and modifying infrastructure as needed. Responsibility: Smart Resource, having excellent communication skills Must Have Skills: - Solid Knowledge on DWH, ETL and Big Data Concepts - Excellent SQL Skills (With knowledge of SQL Analytics Functions) - Working Experience on any ETL tool i.e. SSIS / Informatica - Working Experience on any Azure or AWS Big Data Tools. - Experience on Implementing Data Jobs (Batch / Real time Streaming) - Excellent written and verbal communication skills in English, Self-motivated with strong sense of ownership and Ready to learn new tools and technologies Preferred Skills: - Experience on Py-Spark / Spark SQL - AWS Data Tools (AWS Glue, AWS Athena) - Azure Data Tools (Azure Databricks, Azure Data Factory) Other Skills: - Knowledge about Azure Blob, Azure File Storage, AWS S3, Elastic Search / Redis Search - Knowledge on domain/function (across pricing, promotions and assortment). - Implementation Experience on Schema and Data Validator framework (Python / Java / SQL), - Knowledge on DQS and MDM. Key Responsibilities: - Independently work on ETL / DWH / Big data Projects - Gather and process raw data at scale. - Design and develop data applications using selected tools and frameworks as required and requested. - Read, extract, transform, stage and load data to selected tools and frameworks as required and requested. - Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc. - Work closely with the engineering team to integrate your work into our production systems. - Process unstructured data into a form suitable for analysis. - Analyse processed data. - Support business decisions with ad hoc analysis as needed. - Monitoring data performance and modifying infrastructure as needed. Responsibility: Smart Resource, having excellent communication skills