Data Engineer - Snowflake DB/Data Warehousing

Job Title : Data Engineer. Location : Pune, Bangalore. Experience : 2-4 Years. Skills : Azure, Python, DBT, SQL, Snowflake. Job Summary : As a Data Engineer, you will apply your skills in Snowflake, SQL, Python, and Azure to design, implement, and optimize data pipelines and solutions for large-scale data processing and analytics. You will work with a variety of technologies, including DBT for data transformation, Shell Scripting for automation, and data modeling techniques to create high-quality data structures. You will also collaborate with cross-functional teams to ensure efficient data flow and integration, while adhering to best practices in cloud infrastructure and security. Roles & Responsibilities : - Snowflake & SQL Development : Hands-on experience in working with Snowflake data warehouse for data storage, retrieval, and optimization. Strong proficiency in writing and optimizing SQL queries for large datasets. - Data Transformation (DBT) : Exposure to DBT for transforming raw data into actionable insights and reports. - Python Development : Ability to write Python scripts for data processing, automation, and integration with data platforms. - Data Modeling : Exposure to data modeling concepts and practices to ensure the creation of efficient and scalable data architectures. - Shell Scripting : Familiarity with shell scripting to automate data-related tasks and pipeline management. - Cloud & Azure : Experience with Azure for cloud infrastructure management, including data storage, compute, and data processing services. - Collaboration & Communication : Ability to collaborate with cross-functional teams to gather data requirements, troubleshoot issues, and implement solutions. - Strong communication skills to explain complex technical concepts to both technical and non-technical stakeholders. Must-Have Skills : - Basic knowledge of Snowflake data warehouse and experience with SQL for querying and data manipulation. - Exposure to DBT for data transformation and pipeline management. - Ability to write Python scripts for data processing and automation. - Basic to mid-level understanding of data modeling concepts. - Familiarity with shell scripting for automating data-related tasks. - Proficiency in Azure cloud services, particularly for data processing and storage solutions. - Strong communication skills for effective collaboration and technical explanation. Additional Skills : - Experience with any of the orchestration tools (Tidel, AirFlow, Control M) to manage and automate workflows. - Exposure to security best practices for cloud-based data solutions. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 1/10/2025