Description

You will design and build scalable, high-performance data platforms.

Responsibilities

• Architect and design scalable and secure data platforms, ensuring high availability and performance.
• Develop and optimize data pipelines and ETL processes using modern frameworks and methodologies.
• Implement AI & ML Platforms, ensuring seamless integration with enterprise data ecosystems.
• Ensure Data Integrity & Governance by enforcing best practices for security, compliance, and quality.
• Oversee Data Migration strategies and execution from legacy to modern cloud-based architectures.

Required Skills

• 15+ years of experience in data engineering, data architecture, and cloud-based platforms.
• Expertise in AWS Cloud Services and hands-on experience with data storage, compute, and analytics tools.
• Strong ETL and Data Processing Knowledge, including batch and real-time data streaming.
• Proficiency in Open-Source Tools like Apache Spark, Hadoop, Airflow, Kafka.
• Deep Understanding of AI & ML Workflows and their integration with data platforms.
• Proven Experience in Data Migration Strategies from on-premises to cloud.
• Expertise in Data Schema Design, Modeling, and Optimization for relational and NoSQL databases.
• Solid Programming Skills in Python, SQL, and Spark.
• Strong Problem-Solving Abilities with an analytical and strategic mindset.

Key Skills

Education

Any Graduate