| Senior full-stack Data engineer OR Data analytics at Remote, Remote, USA |
| Email: [email protected] |
| From: Eli, R Cube [email protected] Reply to: [email protected] Position: Senior full-stack Data engineer OR Data analytics Location: 100% Remote Contract: 6-month rolling contract Experience: 10 Years Profile: Senior full-stack engineer with SME in business intelligence and data experience: LogiAnalytics, Snowflake, SQL along with AWS Dynamo, Lambda and back end node or python. Process: Hiring team appreciates it when suppliers add the tech-stack grid to the resume (vs just in submission comments) - Remote Interview Protocol (share document w/candidate to set expectations and upload image upon accepting invitation) - .5 interview w/Sr Director (Indu) - followed by a 1.0 tech panel interview - remote onboarding. Looking for a Senior Full Stack Engineer with 5-7 years of experience in data architecture and design, data warehouse and implementing reporting and analytics solutions You will help define the technical vision, strategy and plan for modeling layers and security/governance of the data warehouse platform to enable the development of high value, analytic solutions aligned with business needs. You should be able to understand the platform landscape and provide suggestions for improvements and have good experience performing POCs hands on. You are strong in conceptual, logical, object, and relational data modelling, experienced in defining data architecture frameworks. Have expertise in data visualization software (Logi Analytics, QuickSight, Tableau, PowerBI, , etc.) for effective data presentation. Proficiency in different types of databases (relational vs. non-relational, etc.) and their relevant use cases Experience working with AWS Cloud Computing and ability to define multiple solution options to solve business problems. You can mentor junior engineers and attention to detail, a drive for accuracy and a strong work ethic. Qualifications: A bachelors degree in computer science, Software Engineering or MIS. 5+ years hands on experience in analytics or/and data engineering role 5+ years of development experience with any BI Tools preferably Logi Analytics, Tableau 2+ years of experience with Snowflake Cloud Data Warehouse platforms Proficient in writing complex SQLs, expertise in performance tuning of SQLs Good experience with Python or Nodejs scripting and programming 2+ years hands-on experience with AWS serverless and managed technologies: Lambda, SNS/SQS, S3, IAM, CloudWatch, EC2, and DynamoDB. Certifications are a big plus Experience supporting and working with cross-functional teams in a dynamic environment Communicates with colleagues, management, and business team members on requirements, problems, project status, and issues Understands and work within corporate IT governance practices The ideal candidate will have experience supporting and implementing reporting and analytics solutions. Keywords: business intelligence sthree rlang information technology |
| [email protected] View all |
| Tue Aug 29 00:53:00 UTC 2023 |