Sr. Data Engineer - Snowflake & ADF - Tieto Tech Consulting (m/f/d)
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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche Snowflake+ADF requirement reduces competition despite Bangalore metro and a popular Data Engineer title.
Core data engineering skills are transferable, but Snowflake/Azure specialization increases domain dependency.
Explicit 8+ years plus mandatory Snowflake and ADF experience and technical stack make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and operationalize large-scale production-grade data warehouse and integration solutions on Snowflake Cloud Data Warehouse.
Develop and maintain scalable data ingestion pipelines using Azure Data Factory (ADF) integrating diverse and disparate data sources.
Perform root cause analysis by analyzing large data stores and existing code, translating complex requirements into detailed technical and data designs.
Minimum Requirements
8+ years of experience in Data Warehouse and Data Integration project design and development.
3–4+ years designing and implementing production-grade data solutions on Snowflake Data Warehouse.
Strong expertise with Azure and Azure Data Factory (ADF); strong SQL skills including complex queries and database design knowledge.
Basic Python programming skills; experience with Agile methodologies including Jira and Scrum meetings.
Ideal Candidate Profile
Experienced in architecting and operationalizing large-scale data and analytics solutions on Snowflake in an Azure cloud environment.
Able to coordinate effectively with offshore teams and stakeholders, working independently while contributing in Agile teams.
Familiarity with Insurance domain is a plus; embraces continuous learning of new technologies and data engineering best practices.