AWS Data Platform Engineer Job in Chennai at LatentView

LatentView is hiring for the role of AWS Data Platform Engineer!

Responsibilities of the Candidate:

• Assist in designing and implementing scalable, secure, and cost-efficient data architectures on AWS.
• Work with senior architects and stakeholders to translate business needs into technical solutions.
• Integrate data from multiple sources into a centralized data platform using AWS-native services.
• Develop and maintain conceptual, logical, and physical data models.
• Build, test, and deploy ETL/ELT pipelines using AWS-native and open-source tools.
• Implement data governance, quality, and lineage frameworks across systems.
• Optimize ETL pipelines, queries, and storage layers for scalability and cost-effectiveness.
• Leverage AWS services efficiently by fine-tuning compute, storage, and orchestration strategies.
• Set up monitoring, logging, and automated alerts to proactively identify performance bottlenecks.
• Mentor junior engineers by providing technical guidance, conducting code reviews, and sharing best practices.
• Collaborate closely with cross-functional teams to ensure smooth delivery of data engineering projects.
• Support team leads and managers in strategic decision-making and architectural discussions.

Requirements:

• 2 to 5  years in the Data Engineering domain
• 2+ years of hands-on experience in AWS Data Engineering services, including: o   Amazon S3, Glue, Athena, Redshift, Lambda, EMR, Kinesis, Step Functions
• Strong expertise in ETL/ELT pipeline design and implementation.
• Proficiency in SQL and at least one programming language (Python / PySpark).
• Solid understanding of data modelling, data warehousing, and schema design.
• Experience with cloud-based orchestration tools (AWS Glue, Step Functions, or Apache Airflow).
• Familiarity with version control (Git) and CI/CD practices for data pipelines.
• Exposure to data lakehouse architectures and tools like Databricks, Apache Iceberg, or Delta Lake.
• Experience working with real-time streaming frameworks like Kinesis or Kafka.
• Understanding of data governance, security, and compliance within AWS environments.
• Hands-on experience in Agile/Scrum delivery models.
• Interest in growing into architectural and leadership roles.