Job Description – AWS Data Engineer

Role: AWS Data Engineer
Experience: 5–8 Years
Location: Gurgaon 
Notice Period: Immediate to 15 Days

Job Summary

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong hands-on experience with AWS services, Python, PySpark, AWS Glue, and Amazon Redshift, along with expertise in building high-performance ETL/ELT workflows.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on the AWS cloud platform.
• Build and optimize ETL/ELT workflows using AWS Glue, Python, and PySpark.
• Develop and manage data warehousing solutions using Amazon Redshift.
• Process and transform large-scale structured and semi-structured datasets.
• Collaborate with cross-functional teams to gather business requirements and deliver data solutions.
• Monitor, troubleshoot, and optimize pipeline performance for reliability and efficiency.
• Implement data quality, security, and governance best practices.
• Work with AWS services to ensure scalable, secure, and cost-effective data solutions.

Required Skills

• Strong experience with AWS Cloud services.
• Hands-on expertise in Python and PySpark.
• Experience with AWS Glue for ETL development.
• Strong knowledge of Amazon Redshift.
• Proficiency in SQL and database concepts.
• Experience in designing and optimizing data pipelines.
• Good understanding of data warehousing and ETL/ELT concepts.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with CI/CD pipelines and version control tools.
• Knowledge of workflow orchestration tools such as Apache Airflow.
• Familiarity with Agile development methodologies.

Eligibility

• Experience: 5–8 years in Data Engineering.
• Notice Period: Immediate to 15 days preferred.
• Location: Gurgaon.