Data Modeler ETL (Qlik Compose, AWS)

Data Modeler Etl (Qlik Compose, Aws)

Bengaluru, India

About The Job Data Modeler Etl (Qlik Compose, Aws)

Accelerate your career with PradeepIT. PradeepIT is one of the largest, globally recognized IT Consulting firm to connect India's deeply vetted talent team to global customer. We're headquartered in Bengaluru, Silicon Valley of India. PradeepIT's customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups. With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved: 6+ Years of Experience 580+ Open source technology Consultant 120+ SAP Consultant 40+ Salesforce Consultant 60+ Adobe Consultant 100+ Mobility Consultant 890+ Clients in APAC, EMEA & USA Our Beliefs PradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.

Roles & Responsibilities Design, develop, scale and enhance our internal and external microservices that encapsulate our platform functionality Take a hands-on lead in platform design, development, architecture, execution and adoption Collaborate with architects, developers for code reviews and troubleshooting Hire, mentor and develop a world-class team of engineers, instilling and fostering a high-performance culture Collaborate with team members and SRE team to improve system stability and observability Engage with business leaders, product owners and other stakeholders to understand business needs and translate them into executable solutions Ensure our applications and processes are adapting to business changes or changes to technology Stay abreast of latest/emerging technologies

Job Description: Responsibilities

• Design, develop and deploy database models for application development to support business applications, ensuring system scalability, security, performance, and reliability • Perform data analysis and data modelling for operational application and analytical databases. • Facilitate communication and documentation on major modelling and credit/fraud/marketing policy initiatives. • Ensure an efficient infrastructure for model development, documentation, implementation, and validation.

Skills Must Have Skills

• Experience with Data Modelling for Data Warehouses • Logical data modelling techniques - 3NF • Should have exposure to Data Vault Modelling techniques. • Data Transformation and ETL - Experience of Qlik Compose, AWS Glue ideal, but if not available possibly Datastage or SSIS or similar ETL type tools • Experience and knowledge of AWS or other Cloud platforms • Knowledge and experience of modem software design and development methodologies & frameworks (e.g. Agile/Scrum) • Experience on multiple full release project life cycles including Agile. • An understanding of testing tools and unit test and integration test scripting, such as taking advantage of TDD • Hands on knowledge of data cleansing techniques • Demonstrates technical leadership skills

Experience

• Must have Experience in usage of data modelling tools (Erwin, Embarcadero, Qlik Compose or similar) • Worked as a Data Modeler on one or more major projects • Participates as a member of the development teams. • Participates in cross-functional teams. • Applies technical knowledge to provide maintenance solutions across one or more technology areas. • Supports the team to develop innovative team solutions • Participates in code reviews. • Flexible and willing to accept a change in priorities as necessary. • Attention to detail with a pragmatic and enthusiastic attitude to work. • Ability to work effectively in a globally dispersed team and with clients and vendors.