data engineer

About the Role and Job: Job Title: Senior Data Engineer - GCP Location: Toronto, ON Job Type: Full time We are looking for a highly experienced Senior Data Engineer with 8+ years of experience in designing, developing, and optimizing enterprise scale data platforms. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), a deep understanding of batch and streaming data processing architectures, and a proven track record of delivering scalable and high performance data solutions.Experience with REST API integrations and exposure to the Wealth Management domain are highly desirable. Key Responsibilities: Design, develop, and maintain scalable data platforms and data pipelines on Google Cloud Platform (GCP). Architect and implement robust batch and real time streaming data processing solutions. Build and optimize ETL/ELT pipelines for large scale structured and unstructured data. Develop scalable data ingestion frameworks leveraging cloud native technologies. Work with GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Cloud Functions, and BigLake. Lead technical design discussions and provide guidance on data architecture and best practices. Partner closely with business stakeholders, architects, analysts, and engineering teams to deliver high quality data solutions. Ensure data quality, governance, security, scalability, and performance across the data ecosystem. Troubleshoot complex production issues and drive continuous improvement initiatives. Mentor junior and mid level engineers and contribute to the overall engineering excellence of the team. Support CI/CD implementation, automation, and infrastructure as code initiatives. Required Qualifications: 8+ years of experience in Data Engineering, Data Warehousing, or Big Data technologies. Strong hands on experience with Google Cloud Platform (GCP). Proven expertise in designing and implementing batch and streaming data processing solutions. Advanced proficiency in Python and SQL. Experience with distributed data processing frameworks and cloud based analytics platforms. Strong understanding of data modeling, schema design, data quality, and performance optimization. Experience building enterprise scale ETL/ELT pipelines and data integration frameworks. Familiarity with Agile delivery methodologies and DevOps practices. Strong problem solving, analytical, and communication skills. Nice to Have Qualifications Experience designing and integrating solutions using REST APIs. Prior experience in Wealth Management, Asset Management, Investment Banking, or Financial Services domains. Knowledge of market, portfolio, client, or investment data ecosystems. Experience with containerization technologies such as Docker and Kubernetes. GCP certifications such as Google Professional Data Engineer. Salary: Fulltime: The pay range for this role is CAD$100,000 - CA$120,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candida