Role Overview

We are seeking a highly motivated and experienced Senior Data Engineer to join our Data Engineering team. The ideal candidate will have extensive experience designing and building scalable cloud-based data platforms using the AWS ecosystem and Snowflake. This role requires expertise in developing high-performance data pipelines, data warehousing, and modern data architectures, along with robust proficiency in Python and SQL.

The successful candidate will also have experience working with graph and vector databases, enabling AI/LLM-powered applications, and will collaborate closely with data scientists, analysts, and business stakeholders to deliver reliable, scalable, and secure data solutions.

Key Responsibilities
Design, develop, and maintain scalable, secure, and high-performance data pipelines using AWS services such as S3, Glue, Lambda, Redshift, EMR, and Step Functions.
Develop and optimize enterprise-scale data warehousing solutions using Snowflake, including data modeling, performance tuning, and cost optimization.




Build efficient ETL/ELT pipelines using Python and SQL for large-scale data ingestion, transformation, and processing.
Design and implement data integration solutions across multiple structured and unstructured data sources.
Develop and maintain graph and vector database solutions to support AI, machine learning, and LLM-based applications.
Collaborate with data scientists, business analysts, product teams, and stakeholders to understand business requirements and translate them into scalable data solutions.
Monitor, troubleshoot, and optimize pipeline performance, reliability, and data quality.
Implement best practices for data governance, security, compliance, and lifecycle management.
Participate in architecture discussions, technical design reviews, and code reviews to promote engineering excellence.
Maintain CI/CD pipelines and version-controlled repositories using Git and Agile development practices.
Utilize Jira or Azure Dev

📌 Senior Data Engineer (Hyderabad)
🏢 Applix
📍 Hyderabad