Experience Level: 10-14 Years

Job Summary:

We are seeking a skilled Data Engineer with strong experience in AWS cloud services and modern data engineering tools. You will be responsible for designing, building, and maintaining scalable data pipelines that enable advanced analytics and business intelligence.

Key Responsibilities:

• Design and develop large-scale ETL pipelines using Python, SQL, and AWS Glue or Spark.
• Build and maintain data lakes and data warehouses on AWS (e.g., S3, Redshift).
• Implement real-time data streaming using AWS Kinesis or Kafka.
• Manage workflow orchestration using Apache Airflow or AWS Step Functions.
• Ensure data quality, reliability, and governance using industry best practices.
• Collaborate with data scientists, analysts, and cross-functional teams.

Required Skills:

• Strong programming experience in Python and SQL.
• Hands-on experience with AWS services: S3, Glue, Lambda, Redshift, EMR, Kinesis.
• Experience with Apache Spark or similar frameworks.
• Proficient in data modeling, data warehousing concepts, and performance tuning.
• Familiarity with CI/CD and version control (Git, Jenkins, etc.).

Preferred Qualifications:

• AWS Data Analytics or Solutions Architect certification.
• Experience with data quality tools like Great Expectations.
• Exposure to Docker, Terraform, or Infrastructure-as-Code practices.