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AWS Data Engineer

6 years

5 - 9 Lacs

Haryāna

Posted:7 hours ago| Platform: GlassDoor logo

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Skills Required

aws data engineering python sql redshift design etl analyze governance checks processing pipeline development tuning query optimization scripting automation writing technology communication collaboration

Work Mode

On-site

Job Type

Part Time

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: • 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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