Role Proficiency:
Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities
Outcomes:
Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team membersMeasures of Outcomes:
Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainingsOutputs Expected:
Code:
Code as per design Follow coding standardstemplates and checklists Review code – for team and peers
Documentation:
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
r and requirements
test cases/results
Configure:
Test:
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Manage knowledge:
share point
libraries and client universities Review the reusable documents created by the team
Release:
Design:
LLD
SAD)/architecture for Applications/Features/Business Components/Data Models
Interface with Customer:
Manage Team:
opportunities
etc Ensure team is engaged in project
Certifications:
Skill Examples:
Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware’s. Strong analytical and problem-solving abilitiesKnowledge Examples:
Appropriate software programs / modules Functional and technical designing Programming languages – proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile – Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solvedAdditional Comments:
Job Description - Job Description Data Engineers will help develop cloud native solutions, leveraging Google Cloud Platform APIs and Services and are able to code in languages and frameworks that fit into that ecosystem – Python, Node, .Net Core (C#), and Java. In addition, our cloud native automation infrastructure allows you to quickly deploy and iterate on your code. As a Senior Data Engineer at UST Global, We believe that both a high-quality team and high-quality code are critical pieces of our mission. You will be responsible to bring customer’s engaging customer facing experience and features to life with APIs and data that power it. You will work collaboratively with architects and other engineers at customer side to recommend, prototype, build and debug data infrastructures on Google Cloud Platform (GCP). You will design data models, build APIs, devise the data pipelines and figure out the scaling strategy for our data stores. Working closely with customer’s product and interoperability team, you will focus on building data stores, APIs and microservices from the ground up that help power the rich and intuitive user experience following an agile work environment governed through SAFe. Furthermore, you will work with our analytics team to build an analytics ecosystem to build analytics stores, data pipelines and integrations to support our deep analytics models and generate a feedback loop to provide valuable insights. You bring: • At least one year of experience working on any major cloud provider • Proven work experience as a Software Engineer and/or Database Developer • Hands-on experience building production-grade data solutions (relational and NoSQL) • Good knowledge in Data modelling including but not limited to table, constraints and relationships but also optimum store and fetch of the data • 5+ years of Database Development experience in at least one of the following databases – PostgreSQL, MySQL, SQL Server, Oracle etc • 1+ year of experience with at least one popular NoSQL data store - MongoDB, Firestore, DynamoDB, Cassandra etc • Prior experience or ownership of the end-to-end data-engineering component of the solution • Proven experience optimizing existing pipelines and maintain all domain-related data pipelines • Analytical mind with problem-solving aptitude • Strong communication skills with ability to interact with business and customer representatives • Passion for growing your skills, tackling interesting work and challenging problems • BA/BS in Computer Science or related field, or equivalent experience • Experience working within an environment with a “startup” culture using agile, lean, DevOps, and DataOps delivery practices and methodologies. For this role, we value: Essentials • Have experience with TDD and writing solid test cases • Experience working in large, high-quality codebases • Have experience running and maintaining containers and using tools such as Docker, Kubernetes, or Mesos in Production • Shipping pragmatic, sustainable code bases with speed • Good understanding of public cloud computing architectures and services. Experienced in the use of cloud native technologies, cloud cybersecurity, and implementation patterns to lower costs, improve speed to market, increase efficiency, and enable innovation • Experience leveraging modern technologies to increase velocity and decrease cost of solution delivery; including cloud technologies, microservices architecture, and streaming analytics • Building collaborative relationships with team members, fostering a productive team environment, and coaching staff with timely meaningful feedback Desirables • Cloud certification on any major cloud provider • Experienced in designing, building, and testing complex scalable systems • Have built or maintained a large-scale microservice infrastructure application or system with petabyte scale data stores • Experience supporting live production infrastructure, can put out fires under pressure when things go wrong • An appetite for data: analyzing metrics and designing A/B tests to help drive the company’s decisions