AWS Data Engineer

4 days ago

Hyderabad, Telangana, India Qode Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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.

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