Data Engineer - SQL / Oracle

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Google BigQuery

Good to have skills : Microsoft SQL Server, Google Cloud Data Services

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in enhancing the overall data infrastructure and ensuring that data is accessible and reliable for decision-making purposes. Project Role : Analytics and Modelor Project Role Description : Analyze and model client, market and key performance data. Use analytical tools and techniques to develop business insights and improve decision-making. Must have Skills : Google Big Query, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI :Job Requirements Roles & Responsibilities:- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. 1:Data Proc, Pub, Sub, Data flow, Kalka Streaming, Looker, SQL (No FLEX) 2:Proven track record of delivering data integration, data warehousing soln 3: Strong SQL And Hands-on (No FLEX) 4:Exp with data integration and migration projects3:Proficient in Big Query SQL language (No FLEX) 5:understanding on cloud native services : bucket storage, GBQ, cloud function, pub sub, composer, and Kubernetes 6:Exp in cloud solutions, mainly data platform services , GCP Certifications5: Exp in Shell Scripting, Python (NO FLEX), Oracle, SQL Technical Experience Professional & Technical Skills: - Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. 1: Expert in Python (NO FLEX). Strong hands-on and strong knowledge in SQL(NO FLEX), Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills are preferred 2: Strong hands-on experience with building solutions using cloud native services: bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes etc. (NO FLEX) 3: Proficiency with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline 4: Open mindset, ability to quickly adapt new technologies 5: Performance tuning of Big Query SQL scripts 6: GCP Certified preferred 7: Working in agile environment Professional Attributes : 1: Must have good communication skills 2: Must have ability to collaborate with different teams and suggest solutions 3: Ability to work independently with little supervision or as a team 4: Good analytical problem solving skills 5: Good team handling skills Educational Qualification: 15 years of Full time education Additional Information :Candidate should be ready for Shift B and work as individual contributor.