Job Title

TCS Hiring !! Digital : Google Data Engineering 4TH April 2026Candidates with less experience and 5 years of experience need not applyMust have :Digital : Google Data EngineeringExperience only 4 to 07yrsPlease read Job description before ApplyingNOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:Name:Contact Number:Email ID:Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)Current Organization Name:Total IT Experience- 4 to 07yrsLocation: TCS - Chennai / TCS - Bangalore / TCS - Hyderabad / TCS - Pune / TCS - KolkataCurrent CTCExpected CTCNotice period:Whether worked with TCS - Y/NExperience 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, analyse 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. Desirable Experience Cloud Storage or equivalent cloud platforms Knowledge of BigQuery ingress and egress patterns Experience in writing Airflow DAGs Knowledge of pubsub,dataflow or any declarative data pipeline tools using batch and streaming ingestion Other GCP Services: Vertex AI