Lead Data Architect
6 days ago
Job Overview:
">We are seeking a skilled Senior Data Engineer to join our team at AJ Consulting. As a key member of our data engineering team, you will play a pivotal role in architecting and implementing our data infrastructure transformation.
This is an exciting opportunity to work with cutting-edge technologies and contribute to the development of our data architecture. You will be responsible for converting complex, legacy data into structured, high-quality datasets that fuel AI and machine learning models.
Key Responsibilities:
">- ">
- Legacy Data Transformation: Design and execute strategies to migrate and transform legacy data systems into modern, scalable architectures optimized for AI and ML workloads.">
- Data Architecture & Modeling: Develop and maintain an efficient data architecture that supports real-time and batch processing, ensuring data integrity, security, and compliance.">
- Platform Development: Work with modern data stack technologies (e.g., Hadoop, Spark, Kafka, AWS/Azure/GCP cloud services, SQL, NoSQL databases) to build and optimize data pipelines.">
- Ai/ml Enablement: Collaborate with data scientists and ML engineers to ensure data is properly formatted, cleaned, and enriched for AI model development and deployment.">
- Performance Tuning: Optimize data processing pipelines for speed and efficiency, addressing bottlenecks and ensuring scalability.">
- Data Governance: Implement and enforce data governance policies, including metadata management, data quality control, and data lineage tracking.">
- Innovation & Best Practices: Stay abreast of emerging trends in data engineering and AI, introducing new tools and techniques to improve data infrastructure.">
- Team Leadership: Mentor junior team members, fostering a culture of continuous learning and innovation.">
Requirements:
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- Bachelor's or Master's degree: In computer science, data engineering, or a related field.">
- Minimum experience: 7 years of hands-on experience in data engineering, with a focus on large-scale data migrations and transformations.">
- Programming languages: Proficiency in Python, Java, or Scala.">
- Big data technologies: Extensive experience with Hadoop, Spark, Hive, HBase, etc., and cloud-based data solutions (AWS S3, Azure Data Lake, GCP BigQuery).">
- Database design: Strong understanding of database design, ETL processes, and data warehousing concepts.">
- Data modeling: Experience with data modeling, data warehousing, and OLAP systems.">
- Containerization: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.">
- Problem-solving skills: Excellent problem-solving skills and ability to work collaboratively with cross-functional teams.">
- Data security: Experience in data security, privacy, and GDPR/CCPA compliance.">
- Communication skills: Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.">
Salary Estimate: ₹2,500,000 - ₹3,500,000 per annum, based on industry standards and location (Gurgaon).
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