Stealth ai startup | data engineer
3 days ago
Join our stealth-mode AI startup on a mission to revolutionize AI and data solutions. Headquartered in Hyderabad, we are a well-funded startup with a world-class team and a passion for innovation in AI, NLP, Computer Vision, and Speech Recognition.
We are looking for a highly motivated Data Engineer with 2 to 4 years of experience to join our team and work on cutting-edge projects in AI and big data technologies.
Role Overview:
As a Data Engineer , you will design, build, and optimize scalable data pipelines and platforms to support our AI-driven solutions. You’ll collaborate with cross-functional teams to enable real-time data processing and insights for enterprise-level applications.
Key Responsibilities:
Develop and maintain robust data pipelines using tools like Py Spark , Kafka , and Airflow.
Design and optimize data workflows for high scalability and performance using Hadoop , HDFS , and Hive.
Integrate structured and unstructured data from diverse sources into a centralized platform.
Leverage big data technologies for real-time processing and streaming using Spark Streaming and Nifi.
Work on cloud-based platforms such as AWS , Azure , and GCP to deploy and monitor scalable data solutions.
Collaborate with AI/ML teams to deploy machine learning models using MLflow and integrate AI capabilities into data pipelines.
Automate and monitor workflows to ensure seamless operations using CI/CD pipelines , Kubernetes , and Docker.
Implement data validation, performance testing, and troubleshooting of large-scale datasets.
Prepare and share actionable insights through BI tools like Tableau and Grafana.
Required Skills and Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields.
Experience: 2 to 4 years in data engineering roles, working with big data ecosystems.
Technical Proficiency:
Big Data Tools: Hadoop, HDFS, Py Spark, Hive, Sqoop, Kafka, Spark Streaming, Airflow, Presto, Nifi.
Cloud Platforms: AWS (Glue, S3, EMR), Azure (ADF, HDInsight), GCP (Big Query, Pub/Sub).
Programming Languages: Python, SQL, Scala.
Dev Ops & Automation: Jenkins, Ansible, Kubernetes, Docker.
Databases: My SQL, Oracle, HBase, Redis.
Visualization Tools: Tableau, Grafana, Zeppelin.
Knowledge of machine learning models, AI tools (e.g., Tensor Flow, H2 O), and feature engineering is a plus.
Strong problem-solving skills with attention to detail and ability to manage multiple projects.
Excellent communication and collaboration skills in a fast-paced environment.
What We Offer:
Opportunity to work on innovative AI projects with a global impact.
Collaborative work culture with access to cutting-edge technologies.
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