Decision Point - Senior Data Engineer - Snowflake/Azure Data Factory

Who are we? We are a global Analytics and Big Data solutions provider, working with a broad mix of multinational companies in CPG, Retail, Industrial, Automobile, Electronics, Healthcare, and more. We are not just your usual data analytics firm we like to think of ourselves as "Analytics Think Tank" with a focus on delivering business impact at scale. DP assures you to provide a 360degree learning platform which will be steepest in the industry, you will develop in-depth know-how of CPG/FMCG business, learn the application of analytics and big data technologies and traits of management consulting. We are a vibrant community of young, energetic, and talented business consultants, data scientists and engineers who are passionate about implementing analytics in real world business problems. Integral to our operational success are our highly skilled support team specializing in finance, human resources, and marketing. Together we make an amazing culture to support and collaborate to become the trail blazers in the industry. We are your gateway to a global frontier of Analytics and Big Data solutions. What would a typical day at your work be like? If you're passionate about the intricacies of product planning and execution, we want you Here's what your day would look like : Assume ownership of Data Engineering projects from inception to completion. Implement fully operational data warehouse solutions in production environments using Snowflake. Showcase proficiency in Snowflake data modelling and ELT techniques with Snowflake SQL, including the implementation of complex stored procedures and adherence to best practices in data warehousing and ETL. Utilize modern data transformation tools such as DBT (Data Build Tool) to streamline and automate data pipelines (nice to have). Implement DevOps practices for continuous integration and deployment (CI/CD) to ensure robust and scalable data solutions (nice to have). Maintain code versioning and collaborate effectively within a version-controlled environment. Familiarity with Data Ingestion & Orchestration tools such as Azure Data Factory, Azure Synapse, etc. is highly desirable. What Do We Expect ? 3 years of experience in Snowflake with Azure Data Factory. Proficient in Snowflake data modeling and ELT techniques using Snowflake SQL. Hands-on experience implementing fully operational data warehouse solutions in production environments. Strong expertise in implementing complex stored procedures and following best practices in data warehousing and ETL. Knowledge of modern data transformation tools, particularly DBT (Data Build Tool), for streamlined and automated data pipelines (nice to have). Experience in implementing DevOps practices for CI/CD to ensure robust and scalable data solutions (nice to have). Proficient in maintaining code versioning and effective collaboration within a version-controller environment. Ability to work effectively as an individual contributor. (ref:hirist.tech)

Location: India, IN

Posted Date: 4/27/2024