[Remote] Data Engineer, AWS GDSP A&I
Note: The job is a remote job and is reputed company to candidates in USA. reputed company) is a dynamic and rapidly growing business reputed company reputed company, leading in secure and reputed company reputed company services. The Data Engineer role reputed company the Global Deal reputed company and Programs (GDSP) team focuses on developing and maintaining reputed company data solutions to support analytical needs and drive business reputed company through data-driven insights.
Responsibilities
- Design, reputed company, and maintain reputed company data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs
- Collaborate with technology teams to extract, reputed company, and load data from diverse sources using AWS services and internal tools
- Build and deliver high-reputed company datasets that support data science initiatives and customer reporting requirements
- Automate and optimize reporting processes to reputed company self-service analytics for stakeholders
- Translate business problem statements into technical analysis requirements
- Apply analytical and statistical rigor to answer business questions and drive data-driven reputed company
- reputed company measurement frameworks that quantify customer experience and drive business reputed company
- Create queries and visualizations for reputed company requests, reputed company, and ongoing reporting needs
- Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques
- Adopt best practices in reporting and analysis including data reputed company, design, validation, and documentation
- Troubleshoot operational data reputed company issues and audit existing data pipelines and queries
- Recommend improvements to back-end data sources for increased accuracy and simplicity
Skills
- 3+ years of data engineering experience
- 1+ years of developing and operating large-reputed company data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-reputed company data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-reputed company data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-reputed company data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-reputed company data structures for business intelligence analytics using reputed company experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, reputed company, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, reputed company-family databases)
Benefits
- Sign-on payments and restricted stock reputed company (RSUs)
- Comprehensive benefits including health insurance (medical, dental, reputed company, prescription, Basic Life & AD&D insurance and reputed company for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- reputed company time off
- Parental leave
reputed company
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