title Data Engineer

As a Data Engineer, you will be responsible for designing and developing robust ETL pipelines using Python, PySpark, and Google Cloud Platform (GCP) services. Your role will involve building and optimizing data models and queries in BigQuery for analytics and reporting purposes. You will also be responsible for ingesting, transforming, and loading structured and semi-structured data from various sources. Collaboration with data analysts, scientists, and business teams to comprehend data requirements will be a key aspect of your job. Ensuring data quality, integrity, and security across cloud-based data platforms is crucial. Monitoring and troubleshooting data workflows and performance issues will also be part of your responsibilities. Automation of data validation and transformation processes using scripting and orchestration tools will be an essential aspect of your role. You are required to have hands-on experience with Google Cloud Platform (GCP), especially BigQuery. Strong programming skills in Python and/or PySpark are necessary for this position. Your experience in designing and implementing ETL workflows and data pipelines will be valuable. Proficiency in SQL and data modeling for analytics is required. Familiarity with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Composer is preferred. Understanding data governance, security, and compliance in cloud environments is essential. Experience with version control tools like Git and agile development practices will be beneficial for this role. If you are looking for a challenging opportunity to work on cutting-edge data engineering projects, this position is ideal for you.,