Bangalore, Karnataka, India
Information Technology
Full-Time
Tech Mahindra
Overview
Job Summary
We are thrilled to announce an exciting opportunity for the role of “Advanced Data Engineer” at Tech Mahindra. We are looking for dynamic professionals with an experience range of 4 to 10 years. The positions will be in Pan India – Tech Mahindra location offering a hybrid work mode. Here’s what we are looking for in an ideal candidate: Proficiency in Python, SQL, Databricks, Snowflake data modeling, data orchestration, ETL processes, Apache Spark, PySpark, data integration, and workflow orchestration. Experience in real-time data processing and frameworks. Hands-on experience with Azure cloud solutions. A minimum of 4 years in a Data Engineering role, involving the analysis and organization of raw data, and building data systems & pipelines in a Cloud Platform (primarily Azure). Proven experience in migrating data from on-premises to cloud-based solution architectures (Azure). Extensive experience with Python, Spark, and SQL. Expertise in developing ETL processes and proficiency with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, or equivalent tools and technologies. Experience in building data lakes and data warehouses to support operational and business intelligence. Excellent written and verbal communication skills.
We are thrilled to announce an exciting opportunity for the role of “Advanced Data Engineer” at Tech Mahindra. We are looking for dynamic professionals with an experience range of 4 to 10 years. The positions will be in Pan India – Tech Mahindra location offering a hybrid work mode. Here’s what we are looking for in an ideal candidate: Proficiency in Python, SQL, Databricks, Snowflake data modeling, data orchestration, ETL processes, Apache Spark, PySpark, data integration, and workflow orchestration. Experience in real-time data processing and frameworks. Hands-on experience with Azure cloud solutions. A minimum of 4 years in a Data Engineering role, involving the analysis and organization of raw data, and building data systems & pipelines in a Cloud Platform (primarily Azure). Proven experience in migrating data from on-premises to cloud-based solution architectures (Azure). Extensive experience with Python, Spark, and SQL. Expertise in developing ETL processes and proficiency with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics, or equivalent tools and technologies. Experience in building data lakes and data warehouses to support operational and business intelligence. Excellent written and verbal communication skills.
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