Senior Programmer

2 weeks ago

Boston, United States Alpha Rae Personnel Full time

JOB TITLE: Data Engineer JOB LOCATION: Remote WAGE RANGE*: 85 - 95/ hour JOB NUMBER: 8660

REQUIRED EXPERIENCE: 3 years Cloud experience (AWS, GCP, Azure) all 3 a big+ 3 years experience building data security frameworks 5 years experience distributed data processing tools Hadoop, Hive, Kafka, Spark etc

JOB DESCRIPTION

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 analysis. 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

Equal Opportunity Employer Veterans/Disabled

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. #J-18808-Ljbffr

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