Data Engineering
Job ID: 964205 | ADCI HYD 13 SEZ
BASIC QUALIFICATIONS :
· Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
· 3+ years of hands-on experience hiring and managing teams and
· 5+ years as a hands-on Data Engineer or developer
· 7+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics
· 4+ years experience working with Open Source Big Data tools (Parquet, Spark, Hadoop, Presto)
PREFERRED QUALIFICATIONS :
· Master's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
· Experience working with AWS Big Data Technologies (EMR, Redshift, S3)
· Proven track record of delivering a big data solution with ML and predictive use cases.
· Experience working with both Batch and Real Time data processing systems
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
· Ability to plan roadmap, prioritize tasks, manage dependencies and deliver on time.
· Excellent understanding of software development life cycle and/or agile development environment with emphasis on BI practices.
· Ability to create collaborative relationships with partners, stakeholders and customers while managing expectations, managing concerns and risks, and communicating progress.
· Proficiency in at least one modern programming language such as Java, Scala, or Python
· Knowledge of data management fundamentals and data storage principles
· Knowledge of distributed systems as it pertains to data storage and cloud computing
· Strong problem-solving skills and ability to prioritize conflicting requirements.
· Excellent written and verbal communication skills and ability to succinctly summarize key findings.
· Meets/exceeds Amazon’s leadership principles requirements for this role
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role