61920-1 Data Engineering
Job Summary
Req ID:
Location: HYDERABAD TS / CHENNAI TN / MUMBAI MH / PUNE MH / BANGALORE KA / NOIDA UP
Experience: 8-10 years
Role Descriptions: Role Name - Data Engineering Strong skills in SQLIn-depth experience with Azure data services particularly Azure Data Factory and Microsoft Fabric. 8 plus years of hands-on experience in data engineeringExperience with CICD practices and tools such as Azure DevOpsKnowledge in Python for data processing and transformation Excellent analytical and problem-solving skills along with strong communication abilities you will be pivotal in enhancing our data infrastructure focusing on the development of scalable data pipelines and robust data solutions. With your expertise in data engineering and architecture you will lead initiatives to support advanced analytics and data-driven decision-making across the Data Solution Development Be the primary contributor to the development of data solutions with a strategic outlook focusing on the broader scope of building a data platform that serves as the single source of truth data lake and Development Architect and manage data solutions ensuring the integration of Databricks with existing data systems. Design ELT processes and data models in line with business Management and Optimization Optimize data storage and processing in Databricks. Implement data lake house solutions ensuring performance and Engineering Expertise Lead and create the development of data tables tailored to specific use-cases by skillfully engineering critical elements from multiple data domains. Ensure the ingestions of 3rd party data are well-structured compliant with data quality standards and traceable from the consumption layer back to the raw data Integration and Security Partner with the Information Security and Infrastructure team to streamline data integration maintain data security and access best practices. Contribute to the creation of end-to-end data analytics and Leadership Mentor junior data engineers fostering a culture of learning and growth. Collaborate with offshore data scientists engineers and analysts to satisfy business data Assurance and Testing Ensure data accuracy and integrity in all data environment. Implement testing and validation processes to maintain high-quality data and Delivery Spearhead the prioritization of Business Needs Leadership Questions and Ad Hoc Requests to ensure on-time delivery and alignment with organizational Learning Keep abreast of the latest developments in Databricks Spark and other big data technologies integrating these advancements into our data of 7 years of experience in data engineering and analytics with substantial expertise in Databricks and -on experience and strong technical knowledge with Databricks particularly focusing on Apache Spark fundamentals including Spark Architecture its APIs and how to l
Essential Skills: Role Name - Data Engineering Strong skills in SQLIn-depth experience with Azure data services particularly Azure Data Factory and Microsoft Fabric. 8 plus years of hands-on experience in data engineeringExperience with CICD practices and tools such as Azure DevOpsKnowledge in Python for data processing and transformation Excellent analytical and problem-solving skills along with strong communication abilities you will be pivotal in enhancing our data infrastructure focusing on the development of scalable data pipelines and robust data solutions. With your expertise in data engineering and architecture you will lead initiatives to support advanced analytics and data-driven decision-making across the Data Solution Development Be the primary contributor to the development of data solutions with a strategic outlook focusing on the broader scope of building a data platform that serves as the single source
Location: HYDERABAD TS / CHENNAI TN / MUMBAI MH / PUNE MH / BANGALORE KA / NOIDA UP
Experience: 8-10 years
Role Descriptions: Role Name - Data Engineering Strong skills in SQLIn-depth experience with Azure data services particularly Azure Data Factory and Microsoft Fabric. 8 plus years of hands-on experience in data engineeringExperience with CICD practices and tools such as Azure DevOpsKnowledge in Python for data processing and transformation Excellent analytical and problem-solving skills along with strong communication abilities you will be pivotal in enhancing our data infrastructure focusing on the development of scalable data pipelines and robust data solutions. With your expertise in data engineering and architecture you will lead initiatives to support advanced analytics and data-driven decision-making across the Data Solution Development Be the primary contributor to the development of data solutions with a strategic outlook focusing on the broader scope of building a data platform that serves as the single source of truth data lake and Development Architect and manage data solutions ensuring the integration of Databricks with existing data systems. Design ELT processes and data models in line with business Management and Optimization Optimize data storage and processing in Databricks. Implement data lake house solutions ensuring performance and Engineering Expertise Lead and create the development of data tables tailored to specific use-cases by skillfully engineering critical elements from multiple data domains. Ensure the ingestions of 3rd party data are well-structured compliant with data quality standards and traceable from the consumption layer back to the raw data Integration and Security Partner with the Information Security and Infrastructure team to streamline data integration maintain data security and access best practices. Contribute to the creation of end-to-end data analytics and Leadership Mentor junior data engineers fostering a culture of learning and growth. Collaborate with offshore data scientists engineers and analysts to satisfy business data Assurance and Testing Ensure data accuracy and integrity in all data environment. Implement testing and validation processes to maintain high-quality data and Delivery Spearhead the prioritization of Business Needs Leadership Questions and Ad Hoc Requests to ensure on-time delivery and alignment with organizational Learning Keep abreast of the latest developments in Databricks Spark and other big data technologies integrating these advancements into our data of 7 years of experience in data engineering and analytics with substantial expertise in Databricks and -on experience and strong technical knowledge with Databricks particularly focusing on Apache Spark fundamentals including Spark Architecture its APIs and how to l
Essential Skills: Role Name - Data Engineering Strong skills in SQLIn-depth experience with Azure data services particularly Azure Data Factory and Microsoft Fabric. 8 plus years of hands-on experience in data engineeringExperience with CICD practices and tools such as Azure DevOpsKnowledge in Python for data processing and transformation Excellent analytical and problem-solving skills along with strong communication abilities you will be pivotal in enhancing our data infrastructure focusing on the development of scalable data pipelines and robust data solutions. With your expertise in data engineering and architecture you will lead initiatives to support advanced analytics and data-driven decision-making across the Data Solution Development Be the primary contributor to the development of data solutions with a strategic outlook focusing on the broader scope of building a data platform that serves as the single source