02 Nov
|
Tata Consultancy Services
|
Bengaluru
02 Nov
Tata Consultancy Services
Bengaluru
TCS has been a great pioneer in feeding the fire of Young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together. TCS is Hiring for GCP Data Engineer Experience Range:
- 6 + Job Locations : Bangalore, Noida, Hyderabad , Mumbai, Kolkata , Pune . Technical/Functional Skills
• Expertise on GCP services Airflow/Cloud Composer/Google Cloud storage, Data Modelling skills.
• Hands-on experience in developing, maintaining, and supporting Airflow / Cloud Composer DAGs.
• Strong Python/Pyspark programming skills, including experience working with GCP APIs.
• Experience with GCP Data Engineering services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Composer, and Cloud Storage.
• Proficient in writing complex SQL queries and stored procedures in BigQuery.
• Experience in cost, performance, and runtime optimization of Airflow / Composer DAGs and BigQuery SQL/stored procedures.
• Ability to stay current with emerging and existing GCP services and provide guidance to technical teams as cloud capabilities evolve.
• Relevant GCP certifications such as Google Cloud Skilled Architect or Google Professional Data Engineer.
• Experience working with BI platforms, reporting tools, data visualization products, and ETL engines.
• Experience with any MPP data warehouse such as Netezza, SQL Server, Teradata, etc.
• Strong ability to communicate and present complex technical concepts clearly and appropriately based on the audience, across all levels of the organization.
• Client-focused mindset, able to build strong working relationships with stakeholders and ensure prompt, clear, and effective communication. Roles & Responsibilities
• Build and maintain ETL / ELT pipelines
• Build, maintain, and troubleshoot ETL/ELT pipelines using GCP services.
• Ingest, transform, and load data from relational databases, APIs, streaming data, and flat files.
• Work with ETL data load techniques and workflows in the GCP stack
• Develop and maintain pipelines to move large volumes of data across platforms using tools such as Python and Dataflow.
• Data modeling, querying, and transformation
• Develop and maintain data models for storage, retrieval, and analysis.
• Demonstrate strong proficiency in SQL for querying, manipulation, and optimization.
• Use Python, PySpark, or Java for data manipulation, scripting, and automation.
• Integrate data from multiple sources
• Have hands-on exposure to CI/CD and Git in the GCP environment
• Use scripting and automation for improving and enhancing existing systems and automating ETL processes.
• Work on reporting data requirements and understanding customer needs.
📌 GCP Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru