.. to leading the team from the front and making sure we deliver a world class product. Actively contribute and participate in design and architecture discussions Lead Agile Sprint planning sessions and daily standups Design and develop high-volume, low-latency applications for critical systems, delivering .. read more
Data Engineer Job Location:
Nagpur / Pune Job Type: Full time Job Purpose: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Azure Data Engineer
Must Have:
SQL, Python, Azure SQL Database, Azure Data Factory, Data Modelling, ETL, Azure Blob Storage, Azure Synapse Analytics
Good to Have: Azure Databricks, Azure Stream Analytics, Azure Functions, API Integration, Knowledge on Cloud Platforms (AWS, Azure, GCP) Knowledge,
Skills and Experience
• Proficiency in crafting and optimizing complex SQL queries for data transformation, aggregation, and analysis. • Good programming skills in Python for data processing and manipulation, including libraries such as Pandas and NumPy. 1 • Experience with a range of Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage and file formats like JSON & Parquet. • Ability to design and implement data models, applying both relational and dimensional modeling techniques, within an Azure environment • In-depth understanding of ETL processes and methodologies, ensuring seamless data movement and transformation using Azure Data Factory. • Adeptness in using Azure Functions for serverless data processing, automation, and orchestrating workflows. • Skill in creating clear and concise technical documentation, facilitating communication and knowledge sharing. • Designing efficient and well-structured data schemas within Azure SQL Database. • Utilizing Azure Databricks for scalable data processing, analytics, and machine learning. • Leveraging Python programming for data processing and manipulation within an Azure environment. Skilled in API integration. • Implementing data integration and orchestration workflows using Azure Data Factory. • Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources. • Collaborating effectively in a cross-functional team environment, translating technical concepts for nontechnical stakeholders. • Crafting and optimizing complex SQL queries for data manipulation and analysis within Azure services. • In-depth understanding of ETL processes and methodologies, ensuring seamless data movement and transformation. • Adeptness in version control using GitHub for collaborative code management.
We are on the lookout for dynamic individuals that bring energy and passion to their work, just like us. As an innovation-driven organization, we offer high-impact careers and growth opportunities across global locations. Our collaborative work environment is designed to help NICE thrive, learn, and grow through targeted learning and development programs as well as generous benefits and perk
Nagpur / Pune Job Type: Full time Job Purpose: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Azure Data Engineer
Must Have:
SQL, Python, Azure SQL Database, Azure Data Factory, Data Modelling, ETL, Azure Blob Storage, Azure Synapse Analytics
Good to Have: Azure Databricks, Azure Stream Analytics, Azure Functions, API Integration, Knowledge on Cloud Platforms (AWS, Azure, GCP) Knowledge,
Skills and Experience
• Proficiency in crafting and optimizing complex SQL queries for data transformation, aggregation, and analysis. • Good programming skills in Python for data processing and manipulation, including libraries such as Pandas and NumPy. 1 • Experience with a range of Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage and file formats like JSON & Parquet. • Ability to design and implement data models, applying both relational and dimensional modeling techniques, within an Azure environment • In-depth understanding of ETL processes and methodologies, ensuring seamless data movement and transformation using Azure Data Factory. • Adeptness in using Azure Functions for serverless data processing, automation, and orchestrating workflows. • Skill in creating clear and concise technical documentation, facilitating communication and knowledge sharing. • Designing efficient and well-structured data schemas within Azure SQL Database. • Utilizing Azure Databricks for scalable data processing, analytics, and machine learning. • Leveraging Python programming for data processing and manipulation within an Azure environment. Skilled in API integration. • Implementing data integration and orchestration workflows using Azure Data Factory. • Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources. • Collaborating effectively in a cross-functional team environment, translating technical concepts for nontechnical stakeholders. • Crafting and optimizing complex SQL queries for data manipulation and analysis within Azure services. • In-depth understanding of ETL processes and methodologies, ensuring seamless data movement and transformation. • Adeptness in version control using GitHub for collaborative code management.
We are on the lookout for dynamic individuals that bring energy and passion to their work, just like us. As an innovation-driven organization, we offer high-impact careers and growth opportunities across global locations. Our collaborative work environment is designed to help NICE thrive, learn, and grow through targeted learning and development programs as well as generous benefits and perk