Snowflake Data Engineer (Python, AWS, Big Data)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Photon, is seeking the following. Apply via Dice today!Job Title: Data Science - Senior Engineer in Production Management (Big Data - Snowflake)Job type: Full time Employee (FTE). Job Id: 25779Location: Irving, TX (Onsite Mon to Fri)Must Need ExperienceSnowflake (Or any other Big Data solution)Python (Data Engineering)Data Warehousing ConceptsData Modelling (Dimensional/Relational)Cloud Platforms (AWS)SQL, High Availability Systems (Data)Short Description:Responsibilities:Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.Perform rigorous unit testing and validation of data pipelines and transformations.Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.Description: Senior Engineer in Production Management (Big Data - Snowflake Focused)The Senior Engineer in Production Management, specializing in Big Data with a focus on Snowflake, will be responsible for the design development, and overall implementation of robust and scalable data solutions in a complex, critical, and large cross-departmental and multi-disciplinary area. This role is crucial for building robust pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives..The role requires a comprehensive understanding of various facets of Big Data technologies and how they interact to achieve strategic data objectives. The candidate will apply in-depth understanding of the business impact of data-driven insights and be accountable for the delivery of a full range of end-to-end data engineering projects.Responsibilities:Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.Perform rigorous unit testing and validation of data pipelines and transformations.Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.Qualifications:Relevant experience in a critical Big Data engineering role with high business impact, and a strong ability to understand how data solutions deliver business value.Excellent engineering skills with expertise in Snowflake data warehousing.Excellent working knowledge of key computer science concepts, especially as they apply to distributed systems, data structures, and algorithms for large-scale data processing.Excellent understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts.Strong debugging and analytical skills: ability to isolate root causes across data pipelines, Snowflake, cloud infrastructure, and data processing layers.