Job Description

Project Role :

Software Development Engineer

Project Role Description :

Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.

Must have skills :

Snowflake Data Warehouse

Good to have skills :

NA

Minimum

5

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: As a Software Development Engineer, you will work in a dynamic environment where you will analyze, design, code, and test application and data components for multiple clients. You will collaborate with cross-functional teams to perform maintenance, enhancements, and new implementations, ensuring that solutions meet evolving business needs while following best practices in software development and data engineering. Roles & Responsibilities: - Act as a Subject Matter Expert (SME), guiding and mentoring the team to deliver high-quality solutions. - Take ownership of team-level technical decisions and drive alignment across multiple teams. - Engage with stakeholders and cross-functional groups, contributing to key architectural and design discussions. - Provide scalable solutions to complex problems within the team and across integrated systems. - Conduct knowledge-sharing sessions to enhance team expertise in modern data tools and practices. - Monitor project progress, proactively address risks, and provide timely updates to stakeholders to ensure delivery against goals. Professional & Technical Skills: Must-Have Skills: - Proficiency in Snowflake Data Warehouse. - Hands-on experience with DBT (Data Build Tool) for data transformations and modeling. - Strong experience in ADF (Azure Data Factory) for building and orchestrating data pipelines. - Solid programming skills in Python for data processing, automation, and integration tasks. - Strong understanding of data modeling, ETL/ELT processes, and best practices. - Expertise in SQL and advanced data querying techniques. - Familiarity with Azure Data Lake Services (preferable). - Ability to troubleshoot, optimize, and monitor data warehouse and pipeline performance. - Understanding of cloud computing concepts, particularly within the Azure ecosystem. Additional Information: - The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse along with hands-on expertise in modern data engineering tools (DBT, ADF, Python). - A 15 years full time education is required.




15 years full time education