4 Snow Sql Jobs

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Data Strategy and Planning: Develop and implement data architecture strategies that align with organizational goals and objectives. Collaborate with business stakeholders to understand data requirements and translate them into actionable plans. Data Modeling: Design and implement logical and physical data models to support business needs. Ensure data models are scalable, efficient, and comply with industry best practices. Database Design and Management: Oversee the design and management of databases, selecting appropriate database technologies based on requirements. Optimize database performance and ensure data integrity and security. Data Integration: Define and implement data integration strategies to facilitate seamless flow of information across. Responsibilities: Experience in data architecture and engineering Proven expertise with Snowflake data platform Strong understanding of ETL/ELT processes and data integration Experience with data modeling and data warehousing concepts Familiarity with performance tuning and optimization techniques Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Cloud & Data Architecture: AWS , Snowflake ETL & Data Engineering: AWS Glue, Apache Spark, Step Functions Big Data & Analytics: Athena,Presto, Hadoop Database & Storage: SQL, Snow sql Security & Compliance: IAM, KMS, Data Masking Preferred technical and professional experience Cloud Data Warehousing: Snowflake (Data Modeling, Query Optimization) Data Transformation: DBT (Data Build Tool) for ELT pipeline management Metadata & Data Governance: Alation (Data Catalog, Lineage, Governance

Expert in Cassandra, Snowflake, advanced SQL, CQL, Snow SQL, Python, Spark, Scala; skilled in Azure, Databricks, secure data sharing, access control, and masking in Snowflake & Azure. Mail:kowsalya.k@srsinfoway.com

Job Purpose and Impact The Professional, Platform Engineering job maintains and partners to design and develop digital technology infrastructure to support information technology applications and services. With limited supervision, this job collaborates with cross functional teams to implement new software features to meet user needs and business goals and upgrade existing platforms to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging moderately complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with platform engineering team members. Key Accountabilities Manage and maintain Snowflake environments, ensuring optimal performance, security, and availability. Develop and implement frameworks for provisioning databases, schemas, warehouses and roles within Snowflake. Set up and manage RBAC to ensure secure and efficient access to data. Monitor and manage Snowflake costs and usage, providing regular reports and insights to optimize spending. Handle financial operations (FinOps) for the cloud platform, ensuring cost efficiency and budget adherence. Optimize Snowflake performance through regular monitoring, tuning, and troubleshooting. Work closely with data engineering, analytics, and IT teams to support their Snowflake needs and ensure seamless integration. Maintain comprehensive documentation of Snowflake configurations, processes, and best practices. Qualifications Minimum 2 years of experience in Snowflake administration and cloud platform management. Proficiency in SQL, SnowSQL, and cloud platforms (e.g., AWS, Azure, GCP). Strong understanding of Snowflake architecture, security features, and performance tuning. Proven experience in managing cloud costs and implementing FinOps practices. Excellent analytical and problem-solving skills with a proactive approach to identifying and resolving issues. Strong communication and collaboration skills to work effectively with cross-functional teams

Maintain/develop data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation and loading of data from a wide variety of data sources using Python, SQL, DBT, and other data technologies. Required Candidate profile Optimize/ maintain workflows/ scripts on present data warehouses and present ETL Design / develop / maintain components of data processing frameworks.