Expedite Technology Solutions LLC
Data Engineer
Expedite Technology Solutions LLC, Jersey City, New Jersey, United States, 07390
Provide technical design and develop Extract/Transform/Load (ETL), ELT applications that interface with Datametica's customer applications.Lead and implement data driven solutions and collaborate with larger development teamsLead and Develop Test Strategy, Test Plan, Test Cases to test the cloud based solutionsCore Responsibilities
Drive Analysis to understand and meet all technical specifications and business requirements according to the established designs.Work extensively to develop Test Strategy, Test Plan, Test Cases to test the cloud based solutionsAnalyze Issues identified during Testing phase, propose solutions to fix the issues.Provide senior-level technical consulting to peer data engineers during design, development and testing for highly complex and critical data projects.Work extensively within the Cloud ecosystem and migrate data from Teradata/Netezza/ similar on-Premise Big Data platforms to Cloud based platforms like Big Query, SQL.Key Role Requirements:
Bachelor's degree in computer science, or related fieldApprox 8+ years of experience with a proven experience in data platform and big data engineeringHands-on Experience in SQL is mandatory. Quickly learning skills to adapt GCP cloud native SQL (Bigquery).Hands-on experience in Python is mandatory. Experience in using a Jupyter notebook is a plus.Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.).Willingness to continuously learn & share learnings with othersCapability to collaborate with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks that you will be responsible forAbility to work in a fast-paced, rapidly changing environmentAbility to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery)Experience working in an agile and collaborative team environmentExcellent written and verbal communication, presentation and professional speaking skillsProven problem-solving skills and attention to detail with a commitment to excellence and high standard
Drive Analysis to understand and meet all technical specifications and business requirements according to the established designs.Work extensively to develop Test Strategy, Test Plan, Test Cases to test the cloud based solutionsAnalyze Issues identified during Testing phase, propose solutions to fix the issues.Provide senior-level technical consulting to peer data engineers during design, development and testing for highly complex and critical data projects.Work extensively within the Cloud ecosystem and migrate data from Teradata/Netezza/ similar on-Premise Big Data platforms to Cloud based platforms like Big Query, SQL.Key Role Requirements:
Bachelor's degree in computer science, or related fieldApprox 8+ years of experience with a proven experience in data platform and big data engineeringHands-on Experience in SQL is mandatory. Quickly learning skills to adapt GCP cloud native SQL (Bigquery).Hands-on experience in Python is mandatory. Experience in using a Jupyter notebook is a plus.Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.).Willingness to continuously learn & share learnings with othersCapability to collaborate with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks that you will be responsible forAbility to work in a fast-paced, rapidly changing environmentAbility to work with business stakeholders and IT team to understand the requirements and quickly translate them into workable solutions using Python and SQL (Bigquery)Experience working in an agile and collaborative team environmentExcellent written and verbal communication, presentation and professional speaking skillsProven problem-solving skills and attention to detail with a commitment to excellence and high standard