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Form of workJob Description
Description:
The Data Engineer will drive complex assignments from a technical perspective, and provide analysis and guidance to development efforts surrounding information usage, interdependencies, and security as required. Individual should have expert knowledge of one or more technical/business domains, be able to interact across functional boundaries, and explore emerging technologies, documenting standards and procedures for their usage. Must have proficiency with relational databases and expertise in data integration and data quality development, as well as data management standards and concepts.
Additional Details
- Preferred Pay Rate Range : BR - BR
- Tenure Limit : 18 months
- Report To Location : 25 Travis St, 2nd Floor Lobby
- Will the worker be working on campus at Harvard : No
- FLSA Exemption Status : Exempt Computer Professional
- Required Education : College Graduate
- Required occupational training, certifications or license(s) : None
- Business Title : Senior Database Engineer
- Additional Job Details : Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team - a startup with assets, where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of technology, world-class education, noble purpose, and timeless legacy? As a Data Engineer, you will bring to life and implement architecture blueprints, perform data analyses, and help our team by mapping out solutions to some of our complex technical challenges. You'll provide technical expertise, analyses, mitigate risk and offer solutions tailored for our needs. From migrations of existing workloads to building advanced cloud solutions, you'll help shape and build systems to increase agility, improve security, reduce costs and meet utilization targets. You will work closely with the Data Science and Infrastructure Architecture & Platform teams and will focus on creating blueprints and finding insights to nourish a culture of engineering excellence. You will report to the Managing Director, Data, Analytics and AI, Digital Transformation. Basic Qualifications Minimum of five years post-secondary education Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline or relevant work experience Three-five years experience working in cloud and on-premise environments with common data processing tools, writing unit tests, performing integration testing, functional and performance testing, automating workflows, and CI/CD using agile best practices. Minimum of three years experience with building data security frameworks in compliance with GDPR and CCPA guidelines. Minimum of five years hands-on experience with distributed data processing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, etc. Minimum of five years experience working with relational databases (SQL) and non-relational databases such as MongoDB, Redis, Cassandra, etc. with an ability to choose the right database for a use case. Other Preferred Qualifications: Extensive experience with performance tuning applications on cloud systems to maximize performance or other data frameworks. Experience building systems to perform real-time data processing using scalable data streaming frameworks. Expert level experience with cloud ecosystems (AWS, GCP, Azure). Experience with descriptive statistics and data analysis. Strong software development experience in popular object-oriented programming languages (C/C++, Java, Python, Scala, etc.) Experience with Unix-based systems, including bash scripting. Strives to learn new skills, test the limits, and stretch capabilities maximizing opportunities to innovate and harness new ideas, emerging technologies and toolsets. Duties and Responsibilities: Support Data Engineering needs across HBS by providing technical support and training in data frameworks and ways of working. Also, assist with reviewing, refactoring and integrating source code for quality control, in addition to data analyses. Design and build production-ready applications to reliably process batch and streaming data in a multi-tenancy cloud data platform and provide insights back to business systems based on their needs. Design and implement core platform functions, tools, and processes using Agile methodology to integrate data from multiple sources and support use cases, ensuring standardization and reusability of work products. Collaborate with the Group Architecture team to enhance the data platform capabilities, proposing updates to the solution architecture that utilize cloud platform best practices. Determine the tools and technologies to be used on the Data Platform and investigate new technologies to identify potential benefits and improvements.
- Does this position require a HUID? : Yes
- Is the worker converting from being a Harvard full-time employee (FTE)? : No
- Pre-identified candidate's information, including name, email, phone, state/city/zip & pay rate : NA
- Role requires identity, I-9 and 3 reference screen (recruited) : Yes
- Role requires identity, I-9 screen (payrolled) : No
- Role requires DMV/driving history screen : No
- Role requires criminal background and sexual offender screening CORI/SORI : No
- Role requires criminal background screen : Yes
- Role requires 10-panel drug screen : No
- Role requires credit record check : No
- Role requires compliance with Immunization policy. : No
