Sr Engineer- Data Engg

Data Engineering in Data Sciences team designs and creates innovative solutions for a variety of applications, platforms and environments. Data Engineering not only gives Target a competitive advantage in the marketplace, but also enhances the guest experience through the smart use of technology in the retail industry. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. 

Job Description:

• Contributes to project success by providing technical leadership on assigned projects.

• Writes technical architecture and solutions

• Translates technical solutions based on client’s needs and feasibility.

• Stays current with technology and determines the impact of hardware and/or software upgrades on new and existing applications.

• Evaluates vendor products and prepares recommendations.

• Ensures high quality, adherence to standards and best practices, high performance, and scalable, repeatable processes and deliverables.

• Understands interrelationships and impacts of systems and applications upon the Target technical environment.

• Participates in project estimation.

• Provides project knowledge and expertise to the TTS organization.

• Identifies and escalates issues when needed

• Prioritizes workload and accomplishes assignments on time, ensuring deliverables are high quality.

• Prepares and conducts technical instruction and mentoring for team members and roll-out room staff.

• Completes all administration in a timely and quality manner.

Requirements

• Four year college degree

• 4-9 years of experience in Big Data tools such as Hadoop, Spark, etc.

• Hands on Experience in Object Oriented or functional programming such as Scala or Java or Python

• Have experience with Data Pipeline and workflow management tools such as Oozie.

• Have experience working on Hive, PostgreSQL, HBase or related technology

• Knowledge of Messaging and Event Systems such as Kafka

• Strong verbal, presentation and written communications skills for technical audiences; able to explain technical solutions to technical teams

• Have experience working on devops model

• Good interpersonal, problem solving, reasoning and analytical skills

• Good negotiation skills

• Good planning and organizational skills

• Self-starter with self initiative and direction

• Works well independently

• Works with confidential information

• Good numeric aptitude

• Good understanding of PC and general office productivity applications

• Understands the retail business, technology, and the application of technology to our business

• Solid SDLC knowledge and expertise