Role: GCP Data Engineer Location: Bangalore Experience: 6-12 years Mode: work from office Job Description: We are seeking a talented GCP Data Engineer to join our team and help us design and implement robust data pipelines and analytics solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in BigQuery , DataFlow , Cloud Composer , and DataProc , along with experience in AI/ML tools such as Google Vertex AI or Dialogflow . Key Responsibilities: Design, develop, and maintain data pipelines and workflows using DataFlow , Cloud Composer , and DataProc . Develop optimized queries and manage large-scale datasets using BigQuery . Collaborate with cross-functional teams to gather requirements and translate business needs into scalable data solutions. Implement best practices for data engineering, including version control, CI/CD pipelines, and data governance. Work on AI/ML use cases, leveraging Google Vertex AI or Dialogflow to create intelligent solutions. Perform data transformations, aggregations, and ETL processes to prepare data for analytics and reporting. Monitor and troubleshoot data workflows to ensure reliability, scalability, and performance. Document technical processes and provide guidance to junior team members. Qualifications: Experience: 3-5+ years of professional experience in GCP data engineering or related fields. Skills: Proficiency in BigQuery , DataFlow , Cloud Composer , and DataProc . Exposure to Google Vertex AI , Dialogflow , or other AI/ML platforms. Strong programming skills in Python , SQL , and familiarity with Terraform for GCP infrastructure. Experience with distributed data processing frameworks like Apache Spark is a plus. Knowledge of data security, governance, and best practices for cloud platforms

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the contact center architecture domain, conversational design & implementation and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Nice to Have: Familiarity with realtime streaming technologies, network and data security implications and methods.Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Proficiency in using frameworks like Dialogflow, Rasa, Amazon Lex, IBM Watson, or Microsoft LUIS. Understanding of language models and techniques for improving intent recognition and entity extraction Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. and JavaScript framework. Experience with RESTful APIs, webhooks, and integrating chatbots with other systems (CRM, databases, etc.). Understanding of serverless computing for building scalable and efficient conversational systems Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on timeFamiliarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar fieldFamiliarity with customer service operations and CRM systemsCertifications in cloud solution architectures like AWS Solution Architect - Associate , GCP Cloud Engineer etc. Nice To Have Familiarity with realtime streaming technologies, network and data security implications and methods.Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills