Career Area: Technology, Digital and Data

Job Summary

We are looking for a highly motivated and experienced Data Engineer to join our data engineering team. The ideal candidate will have a strong background in building scalable data pipelines using the AWS cloud stack and extensive hands-on experience with Snowflake. Proficiency in Python and SQL, along with graph and vector database technologies, is essential. This role requires strong problem-solving abilities and a proactive mindset to deliver efficient, scalable, and reliable data solutions.

Responsibilities

- Design, develop, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Redshift, and EMR.

- Build and optimize data warehousing solutions using Snowflake, including performance tuning and data modeling.

- Write efficient and reusable code in Python and SQL for data transformation and processing.

- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements.

- Monitor, troubleshoot, and improve pipeline performance and reliability.

- Ensure data quality, integrity, and security across all stages of the pipeline.

- Participate in code reviews, architecture discussions, and continuous improvement initiatives.

Required Qualifications

- 5-8 years of experience in data engineering or related roles.

- Strong hands-on experience with AWS cloud services, including data and AI workloads.

- Deep understanding of Snowflake architecture, performance tuning,



and best practices.

- Advanced proficiency in Python and SQL for data pipelines, transformations, and services.

- Solid understanding of graph and vector data modelling concepts and their practical applications.

- Experience developing and operating CI/CD pipelines (GitHub Actions) and cloud native deployments.

- Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments.

- Excellent analytical and problem-solving skills.

- Strong communication and collaboration abilities.

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice to Have Skills

- Knowledge of the NVIDIA ecosystem and its applications in data and AI.

- Hands on experience on Vector (Milvus or similar) and Graph (Neo4J or similar) databases

Preferred Qualifications

- Experience with orchestration tools such as AWS Step Functions.

- Familiarity with data governance and compliance practices.

- Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming).

Working Arrangements

- This position requires working onsite five days a week.

- Relocation is available for this position.

- Visa sponsorship is available for eligible applicants.

Disclaimer: This has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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