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Data Engineer - Snowflake & Python - Tieto Tech Consulting (m/f/d) at Tietoevry Banking

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Python, Azure, SQL, ETL, Data Integration, Stored Procedures, Generative AI

Industry

IT Services and IT Consulting

Description

Job Description Cloud Technologies: Strong knowledge of cloud platforms with preference for Azure ecosystem Snowflake Expertise: Demonstrated expertise in Snowflake cloud data warehouse with hands-on experience in data loading using CSV files. Data Integration: Experience ingesting and loading data from Azure data sources into Snowflake using modern integration patterns. SQL Proficiency: Ability to write complex SQL queries by translating business requirements into efficient, optimized data solutions. Procedural Logic: Experience creating business logic using Snowflake functions, stored procedures, and built-in functions. Python & ETL: Solid foundational knowledge of Python and ETL processes for data pipeline development AI Awareness: Basic understanding of Generative AI concepts to support data-driven solutions and advanced analytics initiatives 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 (tietoevry.com) Remote Type: Hybrid Job Area: Application and Product Development Business Unit: Tech Consulting

Responsibilities

Develop and optimize data pipelines by ingesting data from Azure sources into Snowflake. Create complex business logic using SQL, Snowflake functions, and stored procedures to support advanced analytics.