Data Engineer – Finance Technology Job For 3-6 Year Exp In Amazon Web Services (AWS) India – 3262016

DESCRIPTION
Are you passionate about data Does the prospect of dealing with massive volumes of data excite you Do you want to build data engineering solutions that process billions of records a day in a scalable manner using AWS technologies Do you want to build the next-generation system for intuitive data access
Amazon’s Finance Technology team is seeking truly innovative Data Engineer to join the team that is shaping the future of the finance/accounting systems. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time) and is a passionate about data and analytics. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable, to meet that need you will work with customers, design and develop data solutions that facilitate and influence day to day decision making.
As a Data Engineer, we expect you to have expertise with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You are expected to have experience with design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
BASIC QUALIFICATIONS
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor’s degree in Computer Science or related field
· 5+ years relevant experience
· 5+ years experience with SQL, SQL Tuning, Oracle, OLAP, Big Data Technologies
· 5+ years experience developing end-to-end Business Intelligence solutions: data modeling, ETL and reporting
· Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts,VBA and MS Excel
· Proficiency with Linux and systems administration
· Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
· Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams.
· Ability to work with shifting deadlines in a fast paced environment.
· Able to work in a diverse team
PREFERRED QUALIFICATIONS
· Bachelor’s degree in Information Systems or a related field.
· Knowledge of Big Data Solutions. Experience with Hadoop, Hive or Pig.
· Experience with Redshift and other AWS services.
· Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
· Knowledge of a programming or scripting language (R, Python, Ruby, or JavaScript).
· Experience with Java and Map Reduce frameworks such as Hive/Hadoop.
· Strong organizational and multitasking skills with ability to balance competing priorities.
· An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm.
· Experience with Amazon Web Services
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.