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Description
Position: GCP Data Engineer Company Info: Prama (HQ : Chandler, AZ, USA) Prama specializes in AI-powered and Generative AI solutions for Data, Cloud, and APIs. We collaborate with businesses worldwide to develop platforms and AI-powered products that offer valuable insights and drive business growth. Our comprehensive services include architectural assessment, strategy development, and execution to create secure, reliable, and scalable systems. We are experts in creating innovative platforms for various industries. We help clients to overcome complex business challenges. Our team is dedicated to delivering cutting-edge solutions that elevate the digital experience for corporations. Prama is headquartered in Phoenix with offices in USA, Canada, Mexico, Brazil and India. Location: Bengaluru | Gurugram | Hybrid Benefits: 5 Day Working | Career Growth | Flexible working | Potential On-site Opportunity Kindly send your CV or Resume to careers@prama.ai Primary skills: GCP, PySpark, Python, SQL, ETL Job Description: We are seeking a highly skilled and motivated GCP Data Engineer to join our team. As a GCP Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and data warehousing solutions on the Google Cloud Platform (GCP). You will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient collection, transformation, and analysis of large datasets. Responsibilities: · Design, develop, and maintain scalable data pipelines using GCP tools such as Dataflow, Dataproc, and Cloud Functions. · Implement ETL processes to extract, transform, and load data from various sources into BigQuery. · Optimize data pipelines for performance, cost-efficiency, and reliability. · Collaborate with data analysts and data scientists to understand their data needs and translate them into technical solutions. · Design and implement data warehouses and data marts using BigQuery. · Model and structure data for optimal performance and query efficiency. · Develop and maintain data quality checks and monitoring processes. · Use SQL and Python (PySpark) to analyze large datasets and generate insights. · Create visualizations using tools like Data Studio or Looker to communicate data findings effectively. · Manage and maintain GCP resources, including virtual machines, storage, and networking. · Implement best practices for security, cost optimization, and scalability. · Automate infrastructure provisioning and management using tools like Terraform. Qualifications: · Strong proficiency in SQL, Python, and PySpark. · Hands-on experience with GCP services, including BigQuery, Dataflow, Dataproc, Cloud Storage, and Cloud Functions. · Experience with data warehousing concepts and methodologies. · Understanding of data modeling techniques and best practices. · Strong analytical and problem-solving skills. · Excellent communication and collaboration skills. · Experience with data quality assurance and monitoring. · Knowledge of cloud security best practices. · A passion for data and a desire to learn new technologies. Preferred Qualifications: · Google Cloud Platform certification. · Experience with machine learning and AI. · Knowledge of data streaming technologies (Kafka, Pub/Sub). · Experience with data visualization tools (Looker, Tableau, Data Studio Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Paid sick time Provident Fund Work from home Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): CTC Expected CTC Notice Period (days) Experience in GCP Total Experience Work Location: Hybrid remote in Gurugram, Haryana
