The Marketing Analytic Systems data pipeline delivers value to various business partners by providing tools and capabilities to analyze large data sets for research, analytics, campaign management, reporting and tactical/strategic decision making. Our systems development team is looking for a Developer who has passion to work with data and to build solutions that supports our Analytic Systems Solution stack, which includes Hortonworks Hadoop distribution, Google cloud platform (GCP), SAS (Linux environment) and Tableau Server/Desktop. The successful candidate would have extensive experience as a data engineer or ETL developer building and automating data transformation and loading procedures. Strong knowledge and experience using Hive, SQL, SAS and Hadoop to conduct data profiling/discovery, data modelling and process automation is required. The candidate must be comfortable working with data from multiple sources; Hadoop, DB2, Oracle, flat files. The projects are detail intensive, requiring the accurate capture and translation of data requirements (both tactical and analytical needs) and validation of the working solution. We work in a highly collaborative environment working closely with cross functional team members; Business Analysts, Product Managers, Data Analysts and Report Developers. Perform other duties as assigned.
Design, develop and implement end-to-end solutions on Hortonworks Hadoop distribution and google cloud platform; strong ability to translate business requirements into technical design plan.
Automate, deploy and support solutions scheduled on Crontab or Control-M. Deployment includes proper error handling, dependency controls and necessary alerts. Triage and resolve production issues and identify preventive controls.
Build rapid prototypes or proof of concepts for project feasibility.
Document technical design specifications explaining how business and functional requirements are met. Document operations run book procedures with each solution deployment.
Identify and propose improvements for analytics eco-system solution design and architecture.
Participate in Hadoop and SAS product support such patches and release upgrades. Provide validation support for Hadoop and SAS products, including any changes to other infrastructure, systems, processes that impact Analytics infrastructure.
Participate in full SDLC framework using Agile/Lean methodology.
Support non-production environments with the Operations and IT teams.
Regular, dependable attendance & punctuality.
Bachelor's degree in Computer Science/Engineering, Analytics, Statistics or equivalent work experience.
4+ years of work experience in Data Engineering, ETL Development and Data Analytics.
4+ years of hands-on experience using SQL and scripting language such as Unix Shell or Python
3+ years of hands-on experience developing on a Linux platform.
2+ years of hands-on experience working in traditional RDBMS such as Oracle, DB2.
1+ years of hands-on experience working in Hadoop using HIVE, HDFS, TEZ, MapReduce, Sqoop.
1+ years of hands-on experience working scripting language such as Python or SAS with BASE SAS, SAS MACRO, and SAS STAT.
Experience with Spark, PySpark, Zeppelin and Jupyter Notebook is nice to have.
Experience and knowledge of cloud technologies is preferred.
Demonstrated experience implementing and automating ETL processes on large data sets.
Experience with report development and supporting data requirements for reporting.
Strong knowledge of Hadoop / Big Data architecture and operational workings.
Strong communications skills.
Basic math functions such as addition, subtraction, multiplication, division, and analytical skills.
Must be able to work independently with minimal supervision and make sound decisions.
This position involves regular walking, standing, sitting for extended periods of time, hearing, and talking.
May occasionally involve stooping, kneeling, or crouching.
May involve close vision, color vision, depth perception, focus adjustment, and viewing computer monitor for extended periods of time.
Involves manual dexterity for using keyboard, mouse, and other office equipment.
May involve moving or lifting items under 10 pounds.
Ability to collaborate with internal and cross functional teams.
Ability to multi-task and meet deadlines.
Ability to work with diverse teams and multiple technologies.
Ability to work a flexible schedule based on department and company needs.
As the fastest growing part of Macy's Inc. business, macys.com is achieving record sales and broadening our workforce. Macys.com offers the entrepreneurial culture of a web business with the stability and support of the best brand in retailing. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for substantial growth. If you're interested in being a part of that growth and want to know what it's really like to work at macys.com, get an inside look at http://ecommerce.macysjobs.com/
Our employees have long-term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At macys.com we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of digital technology and omnichannel integration with the best in retailing, macys.com is reaching new heights.
This job overview is not all inclusive. In addition, Macy’s, Inc. reserves the right to amend this job overview at any time. Macy’s is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. Macy’s, Inc. – including Macy’s and Bloomingdale’s – will consider for employment qualified applicants with criminal convictions in a manner consistent with SFPC Art. 49 and LA MC ch.XVIII Art. 9.