Job highlights

- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists,engineering teams and business audiences . Should have minimum of 5+ years of experience in Google Cloud Data Engineering .

**GCP Data Engineer JD Expectations: In this role, you will: Bachelor s/Masters degree in Computer Science, or related field Understanding of Big Data technologies and solutions (Spark, Hadoop) and multiple scripting and languages (Java, Python)

Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Data Fusion, Dataproc, Dataflow,Composer, DAG, Airflow, Complex SQL, stored procedures)

Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences

Should have minimum of 5+ years of experience in Google Cloud Data Engineering

Provide technical expertise in the design and development using Google Cloud

Develops and/or re-engineers highly complex application components, and integrate software packages, programs and reusable objects residing on multiple platforms





Development experience on Google cloud platform to implement streaming analytics for stream and batch processing

GCP Certification is preferable

Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on server less infrastructure, Workflow orchestration using Google Cloud Data Engineering components DataFlow, Data proc, Compute Engine, Cloud Composer ,Run, Big Query, etc Have explicit work experience on Python with Apache beam farmwork to build dataflow job custom template, In depth knowledge on Dataflow job autoscaling, various runtime parameters for dataflow jobs Requirements : To be successful in this role, you should meet the following requirements: Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others

Work closely with analysts and business process owners to translate business requirements into technical solutions

Build internal solutions, with custom front ends (web, mobile) and backend services that automate business processes

Maintain highest levels of development practices including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability**

📌 GCP DATA ENGG (Hyderabad)
🏢 Ideslabs Private
📍 Hyderabad