Statusneo- Data Engineer ( Aiml) (Bengaluru)

Job Title: Data Engineer Location: Gurgaon & Bangalore Company: StatusNeo Mode - Hybrid We are looking for a talented and passionate Data Engineer to join our rapid-paced and growing team. You will play a crucial role in building robust data infrastructure, optimizing data pipelines, and supporting ML/AI initiatives. If you're excited about working with large datasets, cloud data platforms, and applying ML/AI concepts to real-world problems, we want to hear from you. Design, develop, and maintain scalable and efficient data pipelines using SQL and BigQuery . Collaborate with data scientists and ML engineers to support end-to-end machine learning pipelines . Work closely with stakeholders to understand data needs and deliver actionable insights. Implement and optimize ETL/ELT processes to support analytics and AI applications. Deploy and monitor ML models in production environments. Ensure data quality, security, and governance across the entire data lifecycle. Work in an agile environment to deliver fast iterations and rapid deployments. 36 years of experience in Data Engineering or similar role. Strong expertise in SQL for data manipulation and performance tuning. Hands-on experience with Google BigQuery and GCP cloud services. Proficiency in Python , especially for data processing and ML/AI integration. Familiarity with machine learning workflows and deployment practices. Experience with data orchestration tools like Airflow or similar. Good understanding of data modeling, warehousing, and data lakes. Ability to write clean, scalable, and maintainable code. Job Title: Data Engineer Location: Gurgaon & Bangalore Company: StatusNeo Mode - Hybrid We are looking for a talented and passionate Data Engineer to join our rapid-paced and growing team. You will play a crucial role in building robust data infrastructure, optimizing data pipelines, and supporting ML/AI initiatives. If you're excited about working with large datasets, cloud data platforms, and applying ML/AI concepts to real-world problems, we want to hear from you. Design, develop, and maintain scalable and efficient data pipelines using SQL and BigQuery . Collaborate with data scientists and ML engineers to support end-to-end machine learning pipelines . Work closely with stakeholders to understand data needs and deliver actionable insights. Implement and optimize ETL/ELT processes to support analytics and AI applications. Deploy and monitor ML models in production environments. Ensure data quality, security, and governance across the entire data lifecycle. Work in an agile environment to deliver fast iterations and rapid deployments. 36 years of experience in Data Engineering or similar role. Strong expertise in SQL for data manipulation and performance tuning. Hands-on experience with Google BigQuery and GCP cloud services. Proficiency in Python , especially for data processing and ML/AI integration. Familiarity with machine learning workflows and deployment practices. Experience with data orchestration tools like Airflow or similar. Good understanding of data modeling, warehousing, and data lakes. Ability to write clean, scalable, and maintainable code.