****Prominent and Elite Globally Recognized Leading Corporation in Technology****

Work for the top player in the Technology industry. The Enterprise Technology Data Engineering & AI team building out new Landscape. You will play a critical role in shaping the future of our organizations Data and AI strategy. You must be driven, think out of the box, relentless and come up with solutions.

The Enterprise Technology Data Engineering & AI team building out new Landscape. You will play a critical role in shaping the future of our organizations data and AI strategy . You must be driven, think out of the box, relentless and come up with solutions.

You will be designing and building the next-generation, cloud-native data and AI platform. Requires scalable batch, streaming, and GenAI-enabled pipelines that transform structured and unstructured data to different legs of the firm into trusted, self-service insights. Using modern data stacks and BI tools, required to delivery of predictive analytics, real-time dashboards, and machine-assisted decision-making while mentoring engineers and partnering with senior stakeholders.

Responsibilities End-to-End Data Pipelines : Build resilient ELT/ETL workflows for diverse data typesincluding relational databases, event streams, PDFs, images, and logswith automated testing, lineage tracking, and governance baked in. Stakeholder Collaboration : Translate business needs into intuitive data models. Gather requirements and promote best practices across on-shore and off-shore teams. Unified Data & AI Platform : Architect lakehouse-style platforms and data management stacks using technologies like Redshift, BigQuery, Airbyte, and Airflow. Advanced Analytics & Forecasting : Create predictive models and scenario planning tools that inform budgeting, investment strategy, Financial impact. AI-Embedded Workflows : Integrate GenAI and LLMs into everyday data tasksautomated documentation, document intelligence, conversational querying, and prompt-driven quality checks. Technical Leadership & Governance : Define coding standards, review designs, and champion privacy, security, and cost-optimized architecture. Real-Time & Streaming Infrastructure : Design scalable batch and streaming pipelines to support event-driven insights using Kafka, Spark, or similar tools.

Qualifications Strong command of CI/CD (GitHub), ( Kubernetes/Helm ), and infrastructure-as-code . Hands-on experience building data platforms using Python, advanced SQL, Airflow, Airbyte, cloud data warehouses (Redshift, BigQuery), and real-time systems (Kafka, Pub/Sub, or Kinesis). Proven use of GenAI/LLM tools for document processing, code generation, or conversational data access. Bachelor's or Masters in Computer Science or equivalent experience. Excellent comprehension and communication skills with the ability to connect technical solutions to business goals and lead cross-functional collaboration. 11+ years designing and operating scaleable data platforms that handle both structured and unstructured data. Strong and deep experience in predictive modeling, optimization, time-series forecasting, financial scenario planning. Must have Expertise of dimensional modeling, wide-table strategies, and performance tuning for analytics workloads.