
Data Engineer-Data Platforms-Google
At IBM, we are constantly pushing the boundaries of technology to drive innovation and transform businesses. As a Data Engineer for Data Platforms-Google, you will play a crucial role in designing and building data solutions that power IBM's cutting-edge products and services. With your technical expertise and passion for data, you will be at the forefront of driving data-driven decision making and insights across the organization. Join us in this exciting journey and be a part of a diverse and dynamic team that is shaping the future of data at IBM.We are looking for a highly skilled and driven individual who is proficient in data engineering and has experience working with Google data platforms. The ideal candidate will have a strong background in data architecture and be able to design and implement scalable data solutions. A passion for problem-solving, an analytical mindset, and the ability to collaborate with cross-functional teams are also essential for this role. If you are someone who is excited about using data to drive business impact, we want to hear from you!
- Design and build scalable data solutions using Google data platforms to support IBM's cutting-edge products and services.
- Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions.
- Utilize technical expertise and best practices to design and implement data architectures that enable efficient data processing and storage.
- Develop and maintain data pipelines to ensure the timely and accurate collection, transformation, and delivery of data.
- Continuously monitor and troubleshoot data pipelines to ensure data quality and identify and resolve any issues.
- Research and evaluate new data technologies and tools to enhance existing data platforms and processes.
- Work closely with data scientists and analysts to provide them with clean, reliable, and well-structured data for analysis and insights.
- Collaborate with data governance and security teams to ensure compliance with data privacy and security regulations.
- Develop and maintain documentation for data solutions and processes.
- Stay up-to-date with industry trends and best practices in data engineering and Google data platforms.
- Mentor and train junior team members on data engineering best practices and technical skills.
- Actively participate in team meetings, brainstorming sessions, and other initiatives to drive innovation and continuous improvement within the team.
- Take ownership of data projects and ensure timely and successful delivery.
- Communicate effectively with stakeholders at all levels to understand their data needs and provide timely updates on data projects.
- Collaborate with external partners and vendors to integrate data solutions and platforms.
Bachelor's Or Master's Degree In Computer Science, Information Systems, Or A Related Field.
At Least 3 Years Of Experience In Data Engineering, With A Focus On Building And Maintaining Data Platforms.
Strong Proficiency In Google Cloud Platform (Gcp) Tools And Services, Including Bigquery, Cloud Storage, And Dataflow.
Experience In Designing And Implementing Large-Scale Data Pipelines And Etl Processes.
Familiarity With Data Security And Compliance Regulations, Such As Gdpr And Ccpa.
SQL Programming
Database Management
Data Modeling
Machine Learning
Data warehousing
Data Manipulation
Data Visualization
Cloud Computing
Data integration
ETL Development
Big Data Analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer-Data Platforms-Google in Gurugram, Haryana, India is between ₹1,500,000 - ₹3,000,000 per year. This amount may vary depending on factors such as experience, skills, and company size.
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International Business Machines Corporation is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries.

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