Lead Data Engineer, Business Intelligence
Target Corporation
Benefits
Eligible team members will receive one of the best earnings packages anywhere, including competitive pay, all-around insurance coverage, 401(k), flexible scheduling, training and development and many other perks and benefits. Target is an Equal Employment Opportunity Employer and a drug-free workplace.
About Target
From our Minneapolis-based headquarters to over 1,800 stores and more than 35 distribution centers across the U.S. and Canada, Target offers a world of possibilities in an environment that will encourage you to innovate and contribute ideas. Join a company that’s always moving forward to what’s next. Be a part of a team that has revolutionized retail, championed design, and volunteered thousands of hours giving back to their communities. Since 1946, Target has given 5 percent of its profit through community grants and programs; today, that giving equals more than $4 million a week.
Eligible team members will receive one of the best earnings packages anywhere, including competitive pay, all-around insurance coverage, 401(k), flexible scheduling, training and development and many other perks and benefits. Target is an Equal Employment Opportunity Employer and a drug-free workplace.
- Assist in the decision-making process related to the selection of software architecture solutions
- Implement architectures to handle web-scale data and its organization
- Assist in the definition of software architecture to ensure that the online organization’s software solutions are built within a consistent framework
- Translate strategic requirements to ensure effective solutions meet business requirements
- Perform systems and applications performance characterization and trade-off studies through analysis and simulation
- Research improvements in coding standards
- 5-7 years’ experience in developing software applications including: analysis, design, coding, testing, deploying and supporting of applications
- BS degree in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining
- Proficient in application/software architecture (Definition, Business Process Modeling, etc.)
- Understand application/software development and design.
- Collaborative personality, able to engage in interactive discussions with the rest of the team
- Inquisitive on Big Data technology; current on new ideas and tools
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