Job Title

Dear Candidates,Greetings from TCS!!!!TCS is looking for Google Data EngineerExperience: 3-5 yearsMode of interview: Face-to-faceDate of interview: 20/12/2025Location:Hyderabad: Synergy Park (Non-SEZ) Campus, TCS Synergy Park, Indian Immunological Colony, Gachibowli, HyderabadChennai: Chennai Drive Location: TCS SNR-Kumaran Nagar, 415/21-24, TNHB Main Rd, Chennai, Tamil Nadu 600119Job description:Experience- Experience level of 3 to 5 years in data engineering, data warehousing, or a related field. - Experience with dashboarding tools like plx dashboard and looker studio - Experience with building data pipelines, reports, best practices and frameworks. - Experience with design and development of scalable and actionable solutions (dashboards, automated collateral, web applications). - Experience with code refactoring for optimal performance. - Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources. - Familiarity with non-relational data storage systems (NoSQL and distributed database management systems).Skills- Strong proficiency in SQL, NoSQL, ETL tools, BigQuery and at least one programming language (e.g., Python, Java). - Big Query, Data Flow, Data Proc, Cloud Sql, Teraform etc - Strong understanding of data structures, algorithms, and software design principles. - Experience with data modeling techniques and methodologies. - Proficiency in troubleshooting and debugging complex data-related issues. - Ability to work independently and as part of a team.Responsibilities- Data Pipeline Development: Design, implement, and maintain robust and scalable data pipelines to extract, transform, and load data from various sources into our data warehouse or data lake. - Data Modeling and Warehousing: Collaborate with data scientists and analysts to design and implement data models that optimize query performance and support complex analytical workloads. - Cloud Infrastructure: Leverage Google Cloud and other internal storage platforms to build and manage scalable and cost-effective data storage and processing solutions. - Data Quality Assurance: Implement data quality checks and monitoring processes to ensure the accuracy, completeness, and consistency of data. - Build large scale data and analytics solutions on GCP, efficiently use the GCP platform to integrate large datasets from multiple data sources, analyze data, data modelling, data exploitation/visualization, DevOps, CI/CD implementation Build automated data pipelines and work in Data engineering solution on GCP using Cloud BigQuery, Cloud DataProc, - Performance Optimization: Continuously monitor and optimize data pipelines and queries for performance and efficiency. - Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and deliver solutions that meet their requirements.