Aws Data Engineer

Position Details:

Role: AWS Data Engineer/AWS Data Analyst

Experience: 4-7 years

Location: Pan India

Shift Timing: 2 PM- 10 PM

Job DescriptionWe are seeking a highly skilled AWS Data Engineer with 4+ years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in AWS services, Python, and SQL, along with experience in data warehousing and ETL/ELT processes.Key Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows using Python and SQL.
• Develop data integration solutions for structured and unstructured data sources.
• Implement data transformation, validation, and quality checks.
• Work with AWS data services such as S3, Glue, Lambda, Redshift, Athena, EMR, and RDS.
• Optimize database performance and write efficient SQL queries.
• Design and maintain data warehouses and data lakes.
• Collaborate with business stakeholders, analysts, and data scientists.
• Monitor and troubleshoot data processing workflows.
• Ensure data security, governance, and compliance standards.

Required Skills

• 4-7 years of Data Engineering experience.
• Strong hands-on experience in Python and SQL.

• Expertise in AWS services:

• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon Redshift
• Amazon Athena
• Amazon RDS

• AWS EMR (preferred)

• Experience in ETL/ELT pipeline development.
• Knowledge of Data Warehousing concepts and dimensional modeling.
• Experience with Airflow or similar orchestration tools.
• Familiarity with Git and Agile methodologies.

Preferred Skills

• PySpark and Apache Spark.
• Databricks or Snowflake.
• CI/CD and DevOps practices.
• AWS Certifications.