- The ideal candidate will be responsible for conceptualizing and executing clear, quality code to develop the best software.
- You will test your code, identify errors, and iterate to ensure quality code.
- You will also support our customers and partners by troubleshooting any of their software issues.
- 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 BigQuery
- Good to have skills : NA
- Minimum 5 year(s) of experience is required
- Educational Qualification : 15 years fulltime education
- 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 BigQuery.
- Design, develop, and maintain data solutions for data generation, collection, and processing using Google BigQuery.
- Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.
- Collaborate with crossfunctional teams to identify and resolve datarelated 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.
- Must To Have Skills : Proficiency in Google BigQuery.
- Good To Have Skills : No Technology Specialization.
- Strong understanding of data modeling, data warehousing, and ETL processes.
- Experience with data integration and migration across systems.
- Experience with SQL and other programming languages.
- Solid grasp of data quality, data governance, and data security best practices.
- The candidate should have a minimum of 5 years of experience in Google BigQuery.
- 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 datadriven solutions.
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