Data Engineer - ETL/Data Warehousing

Role & Responsibilities : - Architect, Plan, and Develop our data strategy and work with our team to turn it into working software. - Co-create the detailed application architecture strategy with the teams, aligning your strategy with the teams' deliverables. - Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance. - Work with business stakeholders, product managers, and architects to understand the business data and related processes. - Own the communication and documentation of the strategy, syndicating with CTO, business, and the development teams. - Get hands-on in the code, building prototypes and upholding best design and engineering practice, demonstrating the patterns you would like realized. - Extensive knowledge in data integration architecture/ETL/Data warehouse, esp. large volumes with complex integrations. - Help the teams slice their deliveries to allow for agile and incremental delivery of business value. - Consult development teams towards application development in a Cloud Native way. - Evaluate tools/services and new technologies and suggest the right service and technology to be used. - Speed as a Habit - can operate in a fast-moving environment, make quick decisions, and execute fiercely to deliver outcomes. - Using Agile and Dev/Ops methods, build platform architecture using a variety of sources (such as cloud IaaS/SaaS). - Integrate data from a variety of business subject areas: Leads management, Customer Portal, Seller App, SAP, Salesforce, etc. - Implement rules & automate data cleansing, mapping, transformation, logging, and exception handling. - Design, build, and deploy databases and data stores. - Participate in cross-functional teams to promote technology strategies, analyze and test products, perform proof-of-concept, and pilot new technologies and/or methods. - Establish and document standards, guidelines, and best practices for teams utilizing the solutions. - Review vendor solution designs to ensure technology appropriateness, standards compliance, and platform capacity alignment. Ideal Candidate : - At least 8 years of overall experience with over 3 years in architecting and working on big data applications and technologies. - BS/MS in Computer Science or equivalent work experience. - Strong Object-Oriented Programming concepts. - Should be proficient in server-side (Java/Linux) technologies. - Expertise in GCP (Google Cloud Platform) and the ability to operate in a DevOps model. - Expertise in architecting or developing features for enterprise-scale systems will be an added advantage. - Passion in being the technology ambassador and coaching engineering excellence to junior engineers. - Strong understanding of the software design/architecture/data-backed decision-making processes. - Hands-on deep knowledge of Java and Spring Boot. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 12/25/2024