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Data Engineer – ed&a, Icc, India

Country : India India

Region : Karnataka

Town : Bengaluru

Category : Production - Quality

Contract type : Permanent

Availability : Full time

Job description

Nike is embracing Big Data technologies to enable data-driven decisions. We're looking to expand our Big Data Engineering team to keep pace. As a Data Engineer, you will work with a variety of talented Nike teammates and be a driving force for building solutions for Nike Technology. You will be working on development projects related to consumer behavior, commerce, and web analytics. To that end, you'll,
* Design and build simple (non - complex) reusable components of larger process or framework to support analytics products with guidance from experienced peers
* Design and implement product features in collaboration with business and Technology stakeholders
* Anticipate, identify and solve issues concerning data management to improve data quality
* Clean, prepare and optimize data at scale for ingestion and consumption
* Support the implementation of new data management projects and re-structure of the current data architecture
* Implement automated workflows and routines using workflow scheduling tools
* Understand and use continuous integration, test-driven development and production deployment frameworks
* Participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
* Analyze and profile data for the purpose of designing scalable solutions
* Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues


Bachelor's Degree in computer scienceAble to quickly pick up new programming languages, technologies, and frameworksAble to influence and communicate effectively, both verbally and written, with team members and business stakeholdersHas a strong problem solving and analytical mindsetStrong understanding of solution and technical designStrong understanding of data structures and algorithmsHas a passion for data solutions In-depth knowledge of scalable cloudExperience with workflow scheduling tools such as AirflowExperience with source control tools such as GitHub and related dev processExperience with scripting languages such as Shell, Python Experience with relational SQLExperience building data lake solutions leveraging one or more of following AWS, EMR, S3, Hive & Spark 2+ years' experience developing Data & Analytic solution
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