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Job Description: Data Engineer - Google

Location: Dattatreya Colony, Hyderabad

Google, a global technology company, is seeking a highly skilled and motivated Data Engineer to join our team in Dattatreya Colony, Hyderabad. As a Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure to enable efficient data processing and analysis. This is an exciting opportunity for individuals with a strong background in data engineering and a passion for working with large-scale data systems.

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Responsibilities:

1. Data Pipeline Development: Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes to ingest, process, and transform large volumes of data from diverse sources. Collaborate with cross-functional teams to understand data requirements and ensure data quality, reliability, and timeliness. Optimize data pipelines for performance and scalability to handle big data processing.
2. Data Modeling and Integration: Design and implement data models and schemas to support efficient data storage, retrieval, and analysis. Integrate data from various structured and unstructured sources, ensuring data consistency and integrity. Collaborate with data scientists and analysts to understand data needs and provide scalable solutions for data analysis and reporting.
3. Data Infrastructure Management: Manage and optimize data storage and processing infrastructure, including databases, data warehouses, and distributed computing systems. Monitor system performance, troubleshoot issues, and implement solutions to enhance efficiency and reliability. Stay updated with the latest data engineering technologies and best practices to drive continuous improvement.

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Skills and Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field. An advanced degree in data science or a related discipline is advantageous.
• Proven experience as a Data Engineer or in a similar role, preferably in a large-scale data processing environment.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and transformation.
• Proficiency in big data technologies and frameworks, such as Hadoop, Spark, and Kafka.
• Experience with data integration tools and technologies, such as Apache Airflow or Informatica.
• Strong understanding of data modeling concepts and database design principles.
• Knowledge of cloud platforms and services, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
• Familiarity with SQL and NoSQL databases, data warehousing concepts, and distributed computing systems.