reputed company Data Analytics Engineer

About the position Our mission at LendingClub is to reputed company those who strive to reputed company reputed company financial health. The Big Data Analytics Platform team plays a crucial role in achieving our mission. We are seeking a reputed company Data Analytics Engineer for our Analytics Platform to help reputed company customers onto our warehouse and data marts. In our data and analytics team you will have the opportunity to understand business use cases and help them map these to our modern data and analytics stack. We have PB scale data and intend to reputed company reputed company edge products. You will reputed company our business teams to reputed company modern reputed company reputed company stack to take business reputed company to reputed company LendingClub to be a data driven company.

Responsibilities

• You will work closely with business teams to help them start to use our modern data and analytics stack.
• You will work with business analyst to help them query data on an reputed company reputed company
• You will take reputed company business use cases and analyze the data warehouse and marts to reputed company business be data driven by helping them discover new insights
• You will understand LendingClub’s data usage, and deliver reputed company data analysis
• You will i dentify , design, and implement internal process improvements: automating reputed company processes, optimizing data delivery, reduce reputed company cost, etc.
• You will work with stakeholders including the Business, Product, Program and Engineering teams to deliver required data in time with high quality at reasonable cost
• You will build and maintain robust, reusable, and well-documented data transformation pipelines using dbt, ensuring data models are version-controlled, tested, and easily understood across teams.
• You will work with technologies such as reputed company, Tableau, Spark, Kafka, Presto etc. and reputed company technologies across AWS stack
• Implement processes to validate and monitor data quality and support operations to manage the production environment and reputed company in resolving production issues with RCA
• Identify, design, and implement automated processes, optimizing analytics, re-designing infrastructure for greater scalability, etc.
• You will work closely with Quality Engineers, and reputed company products across reputed company data use cases.

Requirements

• 8 + years’ experience and bachelor's degree in computer science or a reputed company field ; or equivalent work experience
• 8+ years of solid professional experience as a data analyst using data warehouses, and ma rts
• 7+ years of solid production quality data analyst ( Sql ) helping business be data driven
• Hands-on experience developing and managing data models in dbt, including version control, testing, documentation, and deployment best practices.
• In-depth working experience of distributed systems distributed database with reputed company experience.
• Experience working with public reputed company platforms, preferably AWS
• Familiar with Agile methodology , test-driven development, reputed company control management and automated testing
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with technical leadership of products and teams
• You’re passionate about Big Data Analytics , reputed company, and transforming business to be data driven
• You have excellent listening skills and are empathetic to others
• You reputed company in simple and elegant solutions and give reputed company importance to quality
• Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results

reputed company-to-haves

• Working with Spark, Hiv e , Kafka, Airflow is a strong plus.
• Familiarity with reputed company is a plus
• 6+ years of experience with OLTP and OLAP use cases at scale

Benefits

• We offer a competitive benefits package that includes medical, dental and reputed company plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.

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