Senior Engineer

1. 5+ years of hands-on experience in building secure, high-performance data and machine learning workflows.
2. Strong proficiency in Python, SQL, and relational databases (PostgreSQL, MySQL, Oracle DB). 3. Experience in designing and implementing secure ETL pipelines with data encryption, signing, and validation. 4. Experience handling telemetry data ingestion, transformation, and storage using Kafka or MQTT. 5. Expertise in developing and maintaining data pipelines using Python, SQL, and Pandas for structured and time-series data. 6. Experience managing telemetry databases such as InfluxDB or TimescaleDB for scalable time-series storage. 7. In-depth knowledge of orchestration and scheduling data engineering workflows using Apache Airflow. 8. Experience integrating MLFlow for model tracking, versioning, and lifecycle management. 9. Experience with Cloud-based data solutions (e.g., AWS, Azure, GCP) is advantageous. 10. Experience in creating dashboards and visualizations using Splunk and Grafana. 11. Stay updated with the latest data engineering tools, frameworks, and best practices 12. Excellent problem-solving, analytical, and communication skills. Skills : Python (Programming Language),MySQL,MLOps / ML Lifecycle Management,Apache Airflow,Oracle Databases,Kafka,Pandas,Message Queuing Telemetry Transport (MQTT),Grafana,InFluxDB