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, Microsoft SQL Server, Python (Programming Language), Airflow
Minimum 5 year(s) of experience is required. Educational Qualification: 15 years full time education.
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate 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 various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in enhancing the overall data infrastructure and ensuring that data is accessible and reliable for decision-making purposes.