AWS Data Engineer

@ Qode

Job Title: AWS Data Engineer

Location: Gurgaon / Hyderabad

Experience: 1.6 – 6 years

About 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:

• 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):

• 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:

• DBT – Data transformation and modeling
• AWS Redshift – Data warehousing and analytics
• AWS Lambda – Serverless data processing

Qualifications:

• 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.