Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Data Engineering
Minimum 7.5 year(s) of experience is required
Educational Qualification : Total 15 years of full time education

Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using Google Cloud Platform Architecture. Roles & Responsibilities: - Design, develop, and maintain data solutions for data generation, collection, and processing using Google Cloud Platform Architecture. - Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to identify and resolve data-related issues and ensure data accuracy and consistency. - Develop and maintain data models, data dictionaries, and data flow diagrams to support data architecture and data management activities. - Stay updated with the latest advancements in data engineering and data management technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Google Cloud Platform Architecture. - Good To Have Skills: Experience in Data Engineering. - Strong understanding of data modeling, data warehousing, and data management concepts. - Experience in designing and implementing ETL processes using tools like Apache Beam, Apache Airflow, or Google Cloud Dataflow. - Experience in working with Big Data technologies like Hadoop, Spark, or Google BigQuery. - Experience in working with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, or Cassandra. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Google Cloud Platform Architecture. - The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions.

Total 15 years of full time education

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