Snowflake Developer

Tieto; Bengaluru; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

Tieto Tech Consulting is seeking a Snowflake Data Engineer to design, develop, and operationalize data warehouse and data integration solutions on Snowflake Cloud Data Warehouse. You will work in an Azure environment, leveraging Azure Data Factory and diverse data sources to build scalable ingestion pipelines.

Join a skilled team of data engineers, translate complex requirements into detailed data designs, perform RCA, optimize SQL, and collaborate with offshore stakeholders inside an Agile

Qualifications

• 8+ years of experience in designing and developing Data Warehouse and Data Integration projects.
• Minimum 3–4 years of experience designing and implementing production-grade Snowflake data solutions.

Responsabilités

• Design and develop Data Warehouse and Data Integration solutions for large-scale enterprise data environments.
• Architect, design, implement, and operationalize production-grade data solutions on Snowflake Cloud Data Warehouse.
• Develop and maintain scalable data ingestion pipelines using Azure Data Factory (ADF) and Snowflake.
• Build data ingestion solutions from various and disparate data sources.
• Translate complex functional and technical requirements into detailed technical and data designs.
• Perform analysis of large data stores to identify insights, data issues, and opportunities for improvement.
• Analyze data and existing code to identify root causes (RCA).
• Design and work with database models including transactional databases, data marts, and data warehouses.
• Develop complex and optimized SQL queries involving joins, subqueries, and other advanced techniques.
• Work with ETL tools and technologies to support data extraction, transformation, and loading processes.
• Participate in development and maintenance of data integration and transformation processes.
• Work in an Azure environment and leverage Azure services for data engineering solutions.
• Use Claude or other AI tools to support data engineering activities.
• Collaborate with offshore teams and stakeholders to coordinate delivery activities.
• Maintain and update Jira boards and participate in Agile delivery activities.

Connaissances

Snowflake

Data Warehouse

Data Integration

Azure

Azure Data Factory

SQL

ETL

Python

Claude AI tools

Jira

Outils

Jira

Claude

Description du poste

Do you have a strong Data Engineering, Data Warehouse, and Snowflake background, a passion for problem-solving, and want to join one of the largest tech companies in the Nordics? Then this is the role for you!

We are looking for a Snowflake Data Engineer who wants to be part of Tieto Tech Consulting. Tieto Tech Consulting works as a true partner, solving clients’ toughest technology challenges and delivering reliable outcomes that drive measurable results. By merging data, cloud, AI and design with deep industry expertise, we create impactful yet intuitive digital solutions that empower people and move businesses forward.

In this role, you will work on large-scale data warehouse and data integration projects, designing, developing, and operationalizing data solutions on Snowflake Cloud Data Warehouse. You will work with Azure, Azure Data Factory, ETL technologies, and diverse data sources to build scalable data ingestion and integration solutions.

When joining Tieto Tech Consulting as a Snowflake Data Engineer

• You join a skilled team of data engineers and technology professionals where you learn new things with your colleagues.
• Design and develop Data Warehouse and Data Integration solutions for large-scale enterprise data environments.
• Architect, design, implement, and operationalize production-grade data solutions on Snowflake Cloud Data Warehouse.
• Develop and maintain scalable data ingestion pipelines using Azure Data Factory (ADF) and Snowflake.
• Build data ingestion solutions from various and disparate data sources.
• Translate complex functional and technical requirements into detailed technical and data designs.
• Perform analysis of large data stores to identify insights, data issues, and opportunities for improvement.
• Analyze data and existing code to identify and determine the root cause of problems (RCA).
• Design and work with different database models, including transactional databases, data marts, and data warehouses.
• Develop complex and optimized SQL queries involving joins, subqueries, and other advanced query techniques.
• Work with ETL tools and technologies to support data extraction, transformation, and loading processes.
• Participate in the development and maintenance of data integration and transformation processes.
• Work in an Azure environment and leverage Azure services for data engineering solutions.
• Use Claude or other AI tools to support data engineering activities and improve development productivity.
• Collaborate with offshore teams and stakeholders to coordinate delivery activities and ensure effective communication.
• Maintain and update Jira boards and participate in Agile delivery activities, including Scrum meetings.
• Contribute to the continuous improvement of data engineering practices and solutions.

Who we are looking for

• 8+ years of experience in designing and developing Data Warehouse and Data Integration projects.
• Minimum 3–4 years of experience designing and implementing fully operational, production-grade, large-scale data solutions on Snowflake Data Warehouse.
• Solid experience and understanding of architecting, designing, and operationalizing large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
• Strong experience with Azure and Azure Data Factory (ADF).
• Experience building data ingestion pipelines from various data sources using Azure Data Factory.
• Strong expertise in loading data from disparate datasets and translating complex functional and technical requirements into detailed designs.
• Strong knowledge of SQL, including complex queries, joins, subqueries, and data analysis.
• Good understanding of database design concepts, including Transactional databases, Data Marts, and Data Warehouses.
• Good analytical and data analysis skills, with the ability to investigate problems and identify root causes by analyzing data and existing code.
• Good knowledge of ETL concepts and ETL tools.
• Basic knowledge of Python programming, with a willingness to learn and adopt new technologies.
• Experience using Claude or other AI tools for data engineering activities.
• Strong communication skills and the ability to coordinate effectively with offshore teams and stakeholders.
• Experience working in Agile environments, including Jira and Scrum meetings.