Sr. Data Engineer - Snowflake & ADF - Tieto Tech Consulting (m/f/d)

Tieto Deutschland GmbH; Bengaluru; Hybrid; INR 1,500,000 - 1,900,000; Full time

Benefits offered by this job

Flexible hybrid work model

Job summary

Tieto Deutschland GmbH is seeking a Snowflake Data Engineer to join its data engineering team. You will design, develop and operationalize data solutions on Snowflake Cloud Data Warehouse, working with Azure Data Factory, ETL tools and diverse data sources to build scalable ingestion and integration pipelines.

With 8+ years in data warehousing and 3–4 years building production Snowflake solutions, you will collaborate with offshore teams in an Agile environment, using Jira and Scrum to

Qualifications

• 8+ years of experience in Data Warehouse and Data Integration projects.
• 3–4 years operating Snowflake Data Warehouse at scale.
• Strong knowledge of SQL and data modeling (Data Marts, Data Warehouses).
• Experience with Azure Data Factory and data ingestion pipelines.
• Experience using Claude or AI tools for data engineering.
• Excellent communication and Agile experience (Jira, Scrum).

Responsibilities

• Design and develop Data Warehouse and Data Integration solutions for large-scale environments.
• Architect and operationalize production-grade data solutions on Snowflake.
• Develop scalable data ingestion pipelines using Azure Data Factory and Snowflake.
• Collaborate with offshore teams and participate in Agile ceremonies.

Skills

Data warehouse design

Snowflake

SQL

Azure

ETL concepts

Python basics

AI tools (Claude)

Tools

Azure Data Factory

Snowflake

ETL tools

Jira

Python

Job description

Job Description

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.

As a person, we believe you are

A team player who takes action and demonstrates responsibility to organize your work and solve your tasks. With our agile end-to-end development process, you will continue to both learn from, and coach your colleagues, so communication is important for us. Technology is developing fast, so learning new innovative technologies is something you strive to do.

We also believe you have

• Knowledge or experience in the Insurance domain is an added advantage.
• A willingness to continuously learn and work with new technologies and emerging data engineering practices.
• Strong problem-solving and analytical capabilities.
• The ability to work independently while collaborating effectively with distributed teams.

We offer

• We offer you professional growth, meaningful projects, open culture, and an outstanding work-life balance!
• We offer you an opportunity to create the future of a growing, fast-developing, and important sector.
• We believe that our organizational culture is an important part of enabling you to be successful.
• We provide a flexible hybrid work model as part of our culture and way of working.
• Finally, we also believe in curiosity and learning as a lifestyle where you need to unlearn and relearn every day as new possibilities emerge.

Additional Information

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation.Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion | Sustainability | Tieto