Data Engineer(AIS Python)

, metadata , data warehousing , etl , global delivery , written communication , data integration; Exp: 4-6 years; About Us EVRY India and EVRY USA are wholly owned subsidiaries of TietoEVRY, a leading digital services and software company headquartered in Finland with annual revenues of around USD 3.3 billion. TietoEVRY employs around 24,000 experts globally and is recognized as the #1 IT services and #1 financial services company in the Nordics. TietoEVRY serves thousands of enterprises and public sector customers in more than 90 countries. We foster a culture of continuous learning and focus on helping our customers in accelerating their digital journey to scale business advantage. Be it talent, speed to market, innovation, or cross-pollination of ideas across markets, TietoEVRY leverages USA and India operations to compete locally as well as globally. About EVRY USA EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing sectors. EVRY Indias process and project maturity is very high the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 90012015 & ISO/IEC 270012013. Roles and Responsibility TechnologyAIS (ADF, ADLS, Integration Runtime), Python/Snowpark Primary skills A minimum of 6 years of professional experience is required. Must have working experience on Azure integration services like Azure Data Factory, and ADLS for at least 4 yrs Must have worked on Python for at least 4 yrs Secondary skillsSnowflake, Airflow (any other orchestration tool) Technical Experience Designing, developing, and maintaining data integration workflows and pipelines using Azure Data Factory. Required to possess Azure Cloud experience and demonstrate proficient hands-on skills ADLS, Integration services Must have hands-on experience in processing structured & semi-structured data. Proficiency in Python programming language and its data manipulation libraries (e.g., pandas, NumPy). Should possess an understanding of Snowflake cloud data warehouse. Experience with data pipeline and workflow management tools such as Apache Airflow Hands-on experience in the implementation of Data Warehousing solutions Experience in working with metadata driven ETL/ELT pipelines Understanding of data governance, data security, and regulatory compliance. Troubleshooting and resolving data-related issues and performance bottlenecks. Experience with version control systems and CI/CD pipelines Communication Skills Must have very good oral and written communication skills Must have experience in presenting technical topics Preferred Skills Desirable to possess technical experience/knowledge in the SnapLogic tool