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• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications...

• Triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
• You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.

• Ensuring the completion of development tasks to support the new release of projects/solutions.
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress

Delivering client engagements as part of a team or individually as a subject matter expert in Intelligent Process Automation and large-scale (digital) transformational change....

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

• Lead a team of engineers, providing guidance, mentorship, and support to foster individual growth and team success,
• Develop and maintain robust server-side applications and APIs, primarily utilizing Go (Golang), while ensuring alignment with business objectives and technological advancements,

Collaborate with the team to break down larger projects into testable user stories and tasks Contribute to the test strategy and test plans for complex functionalities Estimate, prioritize, plan and coordinate testing activities within the sprint Help refine and follow quality guidelines and...

• Responsible for Management of Transactional data, event based Near-Realtime collection and distribution of data across IT systems)
• Work in an Agile team to develop the Operation Data store in the insurance industry. Interact with interfacing systems (35+) to build the data interface

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

• Clarification of the functional/technical requirements as part of refinement processes, planning sessions and project meetings in the agile project setup
• Consideration of performance, usability and user behavior requirements when processing

Working closely with application and infrastructure engineers to address issues and bugs as soon as possible Providing transparency to the customers' product teams Driving internal takeovers from project teams Assisting delivery teams with product training and support Coordinating scheduled and...

• Performance Optimization – Important for large datasets, but not critical for small reports.
• Accessibility (a11y) – Recommended for enterprise or public-facing apps.
• Testing (Jest/Cypress) – Good for production reliability, but not mandatory for MVP.

Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools. Actively contribute to code reviews, testing practices, and maintain service stability. Support and guide junior engineers (SE-I), fostering collaboration, knowledge sharing, and...

Cooperate with software teams to establish and implement quality processes at every stage of the development cycle. Develop automated test cases for firmware and Linux-based systems (bootloaders, kernel, device drivers and applications). Drive improvement at every step of the process in a CI/CD...

Drive the implementation, enhancement, and optimization of SAP MM solutions Translate business needs into smart, scalable MM processes and configurations Support the full lifecycle of SAP delivery — design, configuration, testing, and deployment Bring fresh ideas to existing processes and help...

Steer and drive the high-level technology direction of Datapao, including how projects are delivered, solutions built, scaled, and technical teams enabled Oversee the technology strategy of Datapao, including key technical areas, projects, capabilities, standards, and roadmaps; align them with...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Leading a high-performing team of 3 to 8 engineers Working across the complete software lifecycle, including requirements, planning, development, release and support and maintenance Developing Linux device drivers and exposing these to application software...

Cooperate with software teams and testers to establish easy to maintain automated test pipelines. Help develop the development cycle and environment by providing automation and CI friendly design patterns. Drive improvement at every step of the process in a CI/CD environment, from the code...