Job Description

Job Title:

AWS Data Engineer Location: Gurgaon / Hyderabad Experience: 1.6 - 6 yearsAbout the Role: We are seeking a skilled AWS Data Engineer with strong expertise in data engineering tools and cloud technologies. The ideal candidate should have hands-on experience in Snowflake, Python, and SQL, with exposure to AWS Glue. Candidates with experience in DBT, Redshift, and Lambda will have an added advantage.Key Responsibilities: o Design, develop, and maintain scalable data pipelines and ETL workflows on AWS.

Work extensively with Snowflake, Python, and SQL to process, transform, and analyze data. Optimize and maintain existing data architectures to ensure high performance and cost efficiency. Integrate data from multiple sources into a unified data warehouse. Collaborate with data analysts, data scientists, and business stakeholders to meet data requirements. Implement data governance, quality checks, and best practices in data engineering. Leverage AWS services such as Redshift and Lambda for data processing tasks. Use DBT (if applicable) for data modeling and transformation in the ELT framework. Troubleshoot data pipeline issues and perform root cause analysis.

Required Skills (Mandatory):

o Snowflake - Data warehouse development, performance tuning, and query optimization

Python - Scripting for automation and data processing SQL - Advanced query writing and optimization skills AWS Glue

Preferred / Optional Skills:

o DBT - Data transformation and modeling

AWS Redshift - Data warehousing and analytics AWS Lambda - Serverless data processing

Qualifications:

o Bachelor's degree in Computer Science, Information Technology, or a related field.

1.6 - 6 years of hands-on experience in data engineering roles. Strong problem-solving skills and ability to work in fast-paced environments. * Good communication and collaboration skills.