Internship Opportunity | Data Engineer Internship at Amazon; Apply ASAP
Overview:
Amazon is inviting applications to hire for Data Engineer Interns in Hyderabad, India. Interested candidates may apply.
Responsibilities:
- Design, implement and support analytical data platform solutions for data-driven decisions and insights
- Design data schema and operate internal data warehouses & SQL/NoSQL database systems
- Work on different data model designs, architecture, implementation, discussions, and optimizations
- Interface with other teams to extract, transform, and cargo data from a good sort of data sources using AWS big data technologies like EMR, RedShift, Elastic Search, etc.
- Work on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Work on data lake platform and different components within the data lake like Hadoop, Amazon S3, etc.
- Work on SQL technologies on Hadoop like Spark, Hive, Impala, etc.
- Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for patrons
- Must possess strong verbal and written language skills, be self-driven, and deliver top-quality leads to a fast-paced environment.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Enjoy working closely together with your peers with a group of talented engineers and gain knowledge.
- Be hooked on building deep domain knowledge on various Amazon’s business domains.
- Own the event and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
Basic Qualification:
- Candidates must be in their final year of Bachelor or Master Course in Computer Science or Engineering or a related field
- Hands-on experience in SQL
- Hands-on experience in languages like Python etc.
- Knowledge of RDBMS, Big Data, NoSQL, ETL, and Data-warehousing Concepts
- The candidate must have good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment.
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Preferred Qualification:
- Hands-on Experience with AWS technologies like Amazon S3, EMR, Amazon RDS, Amazon Redshift, etc.
- Knowledge of software engineering best practices across the event life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Knowledge of cloud services like AWS or equivalent
- Knowledge of different reporting/visualization tools within the industry
- Sharp problem-solving skills and skills to resolve ambiguous requirements
Location:
Bangalore-KA, Hyderabad-TS, Gurgaon-HR, INDIA