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Senior Data Engineer (Snowflake)

The Senior Data Engineer designs, builds and optimizes data pipelines for key data and analytics capabilities in the enterprise. This position works in collaboration with analytics and data warehousing staff, DBAs and subject matter experts to create reliable processes that load targeted data with integrity and quality, enabling it for strategic use by the business.Collaborate within an agile, multi-disciplinary team to deliver optimal data integration and transformation solutionsAnalyze data requirements (functional and non-functional) to develop and design robust, scalable automated, fault-tolerant data pipeline solutions for business and technology initiativesProfile data to assess the accuracy and completeness of data sources and provide feedback in data gathering sessionsDesign, build, maintain, and operationalize data pipelines for high volume and complex data using appropriate tools and practices in development, test, and production environments. Design with modularity to leverage reuse of code wherever possibleDevelop and design data mappings, programs, routines, and SQL to acquire data from legacy, web, cloud, and purchased package environments into the analytics environmentUnderstand and apply the appropriate use of ELT, ETL, data virtualization, and other methods to optimize the balance of minimal data movement against performance, and mentor others on their appropriate useDrive automation of data pipeline preparation and integration tasks to minimize manual and error-prone processes and improve productivity using modern data preparation, integration, and AI-enabled metadata management tools and techniquesLeverage auditing facilities that will enable monitoring of data quality to detect emerging issues. Deploy transformation rules to cleanse against defined rules and standardsParticipate in architecture, governance, and design reviews, identifying opportunities and making recommendationsParticipate in health check assessments of the existing environment and evaluations of emerging technologiesCollaborate with architects to design and model application data structures, storage, and integration in accordance with enterprise-wide architecture standards across legacy, web, cloud, and purchased package environmentsJob SpecificationsTypically has the following skills or abilities:Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experienceExcellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas to all levels of employees and management6+ years’ experience working in development team providing analytical capabilities6+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT/data pipeline designSQL coding experienceExperience working in an agile development environment (Scrum, Kanban) with a focus on Continuous Integration and DeliveryKnowledge about various data architectures, patterns, and capabilities such as event-driven architecture, real-time data flows, non-relational repositories, data virtualization, cloud storage, etc.Knowledge of and experience with multiple data integration platforms (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.Familiarity with DataOps practices and their application within analytics environments as well as their ability to extend data and analytics capabilities to other operational systems and consumersFamiliarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is beneficialCapable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic designPreferred SkillsSnowflake Certification/Strong hands-on experience with Snowflake (data modeling, performance tuning, security, and optimization)Experience with DataStage (ETL development and maintenance)Good understanding and practical experience in Data Vault modeling (Raw Vault, Business Vault, Information Marts)Experience with workflow orchestration tools such as Apache AirflowProficiency with GitHub (version control, branching strategies, code reviews, CI/CD integration)Experience building and maintaining ETL/ELT pipelinesStrong SQL and data transformation skillsFamiliarity with cloud platforms (AWS/Azure/GCP)Understanding of data warehousing concepts, performance tuning, and best practicesAbility to provide technical leadership, mentor junior engineers, and support production issue resolutionAbility to participate in Agile ceremonies and contribute to continuous improvement initiativesAbility to work in Agile/Scrum environments#LI-VISIONCARECompensation range for the role is listed below. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please <a href="http://www.vspvision.com/careers/rewards-and-benefits.html" target="_blank" rel="noopener noreferrer">click here</a>. Salary Ranges: $78,750.00 - $133,875.00<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing. </div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees/Personal Information. We have been made aware that fake job opportunities are being offered by individuals posing as VSP Vision and affiliate recruiters. <a href="https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvspvision.com%2Fcareers%2Fapplication.html&data=05%7C01%7CLisaHa%40VSP.com%7Cb752b32d8e1f4513fc2008dba9aa96bb%7C3510753d6c4048ae9b9e2fc672d5e5dd%7C0%7C0%7C638290322352516827%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=WoIYtHeJ7ODq%2FTfowqG8KpGUZrZTNm9xoX4XNkFy1NQ%3D&reserved=0" target="_blank" rel="noopener noreferrer">Click here </a>to learn about our application process and what to watch for regarding false job opportunities. As a regular part of doing business, VSP Vision (“VSP”) collects many different types of personal information, including protected health information, about our audiences, including members, doctors, clients, brokers, business partners, and employees.  VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.

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