Careers | Init

Become a part of INIT:

Lead the design, development, and deployment of robust data pipelines ETL/ELT processes.
Architect scalable, secure, and high-performance data platforms on cloud/on-prem environments (AWS, GCP, Azure)
Mentor and guide a team of data engineers, providing technical leadership and fostering collaboration
Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions

Be accountable for the delivery of the project within the defined timelines with good quality
Keep all the stakeholders updated about the task status/risks/issues if there are any
Working with the clients and Offshore leads to understanding requirements, coming up with high-level designs, and completing development, and unit testing activities
Keep all the stakeholders updated about the task status/risks/issues if there are any

Understand and translate business needs into data models supporting long-term solutions
Perform reverse engineering of physical data models from databases and SQL scripts
Analyze data-related system integration challenges and propose appropriate solutions
Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)

Collaborate with business stakeholders to gather, analyze, and document functional and data requirements.
Prepare and manage Business Requirement Documents (BRDs) and functional specifications
Perform data profiling, validation, and analysis using SQL and other tools
Work with STTM and insurance-specific data templates to map source and target systems.

Engage with clients/stakeholders to define analytics roadmaps
Translate business problems into ML, DL, or GenAI-driven analytical solutions
Build Generative AI solutions using LLMs, Transformers, Autoencoders
Develop models for Prediction, Forecast, Segmentation, Churn, CLV, recommendation Systems

Design and develop master data models, hierarchies, and workflows using Informatica MDM Hub and IDD (Informatica Data Director)
Integrate data from various source systems into the MDM platform, ensuring seamless data flow and synchronization.
Implement data quality rules, validation processes, and exception handling to maintain high data standards.
Monitor and optimize MDM system performance to ensure scalability and responsiveness.