Data Engineer SC4823

Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto “ Building Success Together® ,” Nisum has grown to over 1,800 professionals across the United States, Chile,Colombia, India, Pakistan and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today’s world, with immersive and seamless experiences across digital and physical channels.

5+ experience ideal Strong, hands on, technical background

Things that will set them apart: AWS, Redshift data warehousing, repositories within AWS, Snowflake type technologies that are part of AWS Team he's building is geared around foundational architectures and data driven solutions Best candidates are ones who can articulate the value they/their role can provide the organization, can explain how they are solving what problem Need to articulate what that data is helping the company accomplish Soft skills are important, enthusiasm, passion, motivation, etc.

The Data Engineer, Analytics is responsible for the acquisition, modeling, transformation, and delivery of the organization’s data in support of reporting and analytics. This role is tasked with managing and organizing data, while also keeping an eye out for trends or inconsistencies that will impact business goals. It’s a highly technical position, but also requires soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. This role will work closely with Data Analysts and Business Intelligence Developers, ensuring that the data pipeline from source to presentation layer is available and robust.

DUTIES AND RESPONSIBILITIES

Duties include but are not limited to:

Ingests data from a variety of internal and third-party sources Connects to data sources including open API, databases and files Defines and implements a robust automated data pipeline using modern techniques Ensures the data pipeline supports actionable insights into key business performance metrics Aligns architecture with business requirements incorporating design for security and performance optimization Models data supporting a variety of uses such as reporting, analysis, and internal and external data delivery Ensures and improves data reliability, linage, efficiency, and quality Develops data set processes and best practices Identifies, designs, and implements internal process improvements Provides accurate project effort estimates QUALIFICATIONS & SKILLS

Qualifications

Minimum of 5 years of experience related to data acquisition, ingestion, warehousing, and modelling Experience with open APIs, Python, Redshift and Snowflake Strong understanding of ETL/ELT tools and processes Proficient in data warehouse solutions, modeling techniques, and performance optimization Advanced working SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management Successful history of extracting value from large, disconnected datasets Strong project management and organizational skills Experience in performing root cause analysis to answer business questions and identify opportunities for improvement Demonstrated analytical, technical, and problem-solving skills Detail-oriented, and organized with strong verbal and written communication skills Bachelor of Science Degree or equivalent experience in the Life Sciences field Skills/Competencies

Strong interpersonal skills, and the ability to communicate and manage well at all levels of the organization Action oriented and innovative; able to translate goals into achievable steps Strong collaborative team player Ability to effectively handle multiple tasks and ability to adapt to changes in workload and priorities Excellent planning, prioritization, and organizational skills High level of integrity and dependability with a strong sense of urgency and results-orientation Strong ability to perform data analysis and present their findings to stakeholders Capabilities

Ability to communicate in English (both verbal and written) Nisum is an Equal Opportunity Employer and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace.