Snowflake Data Engineer Resume Jobs in Nagpur

Data Engineer Snowflake (5-7 Years) Nagpur Full-Time Location: Nagpur Experience Required: 5-7 years Job Type: Full-Time Open Positions: 3 Job Overview: We are seeking a highly skilled Data Engineer with expertise in Snowflake and ETL processes to join our dynamic team. The successful candidate will help optimize and expand our data pipeline architecture, ensuring efficient data flow for cross-functional teams. This is an exciting opportunity for those who love building scalable data systems from scratch and optimizing existing ones. You will collaborate with software developers, data architects, data analysts, and data scientists to ensure seamless data delivery and contribute to the next generation of our products and data initiatives. Key Responsibilities: Design and optimize data pipelines and architecture for improved data flow and efficiency. Collaborate with software developers, data analysts, and data scientists to support data initiatives. Build and optimize ETL workflows using Snowflake and other technologies. Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis. Develop and maintain Snowflake data models, ensuring scalability and optimal performance. Utilize Snowpark for data processing within the Snowflake platform. Integrate Snowflake with AWS S3 for efficient data storage and retrieval. Implement DBT (Data Build Tool) for data modeling and transformation within Snowflake. Work on API integrations, particularly with AWS Lambda, to facilitate data workflows. Utilize Git for version control and collaborative code management. Troubleshoot and resolve data issues to ensure data consistency and quality within the Snowflake ecosystem. Create clear and comprehensive technical documentation for data processing and system designs. Support cross-functional teams by optimizing data systems and architectures for future growth. Required Skills and Qualifications: Proficiency in crafting complex SQL queries and Stored Procedures for data transformation and analysis within the Snowflake platform. Strong experience with Snowflake cloud data warehousing service, including data loading, querying, and administration. Expertise in ETL processes and methodologies, specifically leveraging Snowflake's capabilities. Familiarity with DBT (Data Build Tool) for data transformation and modeling. In-depth knowledge of AWS S3 integration with Snowflake for data storage and retrieval. Expertise in Snowpark for processing data within Snowflake. Experience with API integrations, particularly AWS Lambda, for efficient data workflows. Strong knowledge of Git for version control and collaborative development. Ability to troubleshoot data issues and ensure high data quality and consistency in the Snowflake ecosystem. Excellent documentation skills to create and maintain clear technical documentation. Solid experience with Python for data manipulation and analysis in the Snowflake environment. Experience in creating and maintaining data integration and transformation workflows using DBT. If you're passionate about data architecture, Snowflake, and building scalable, high-performance data systems, apply now for the Data Engineer Snowflake position in Nagpur or Pune!

Data Architect Nagpur Full-Time Experience Required: 12+ Years Job Location: Nagpur Open Positions: 2 Job Overview: We are seeking a highly experienced Data Architect to join our team. The ideal candidate will collaborate with business stakeholders to understand their data integration requirements and translate them into effective technical solutions. You will be responsible for designing architectural solutions, optimizing ETL workflows, and ensuring seamless data integration across various systems within the bank. The role requires strong expertise in ETL products, data modeling, data warehousing, and real-time data streaming. As a Data Architect, you will also lead data integration projects, ensuring that solutions meet performance, security, and regulatory standards. Key Responsibilities: Collaborate with business stakeholders to understand data integration needs and translate them into technical specifications. Design architectural solutions that align with the bank's overall IT strategy, focusing on performance, scalability, and security. Possess in-depth knowledge of ETL tools and leverage their capabilities for data integration. Implement real-time data streaming architecture using ETL tools to enhance the bank's data ecosystem. Address data quality and consistency issues during the data integration process. Optimize ETL workflows to ensure efficient data flow and improved performance. Implement security measures to protect sensitive data during integration processes and ensure compliance with relevant data protection and privacy regulations. Work with cross-functional IT teams (DBAs, developers, infrastructure teams) to design and deploy integrated data solutions. Create and maintain comprehensive documentation for all data integration solutions. Lead and manage data integration projects, ensuring they are delivered on time, within budget, and meet all project goals and deliverables. Stay updated on the latest advancements in ETL technologies and industry best practices. Required Skills and Qualifications: 12+ years of experience in Data Architecture and integration within large-scale environments. Strong hands-on experience in ETL products and tools for data integration. Expertise in Data Warehousing (DWH) concepts, including dimensional modeling, schema design, and data integration patterns. Strong proficiency in SQL for data manipulation and optimization. Solid understanding of real-time data streaming architecture and the ability to implement it using ETL tools. Experience with data quality management, ensuring accurate and consistent data across systems. Proven ability to work under pressure and meet tight deadlines in a competitive environment. Strong analytical, problem-solving, and decision-making skills. Excellent communication and time management skills. Proficiency in MS Office for documentation, reporting, and project management. Ability to lead and manage complex data integration projects, collaborating with both technical and business teams. Preferred Qualifications: Familiarity with emerging data technologies and architectures. Experience with large-scale data systems and real-time data processing. Cloud platform experience (AWS, Azure, or Google Cloud) is a plus. If you have extensive experience in data architecture, ETL processes, and data integration, we invite you to apply for the Data Architect role. Help us build the next generation of data-driven solutions for the bank!