AWS Data Engineer

Data Engineer

Job Description:

AWS Services :

Strong proficiency in IoT Core, Greengrass, Lambda, DMS, EventBridge, S3, CloudWatch, EC2, FSx, ECR, ECS, Secrets Manager, IAM, DynamoDB, EMR, Cognito, and CloudFormation. MUST TO HAVE AT LEAST 5-7 SKILLS

Programming:

Proficiency in Python andSQL for data processing, automation, and querying. MUST HAVE PYTHON, GOOD TO HAVE SQL, CDK and Terraform

ETL & Data Transformation:

Hands-on experience with ETL tools and data transformation frameworks. NICE TO HAVE

Distributed Computing:

Experience with distributed data processing frameworks like Apache Spark.LIBEARAL

Containerization:

Familiarity with Docker and Kubernetes.LIBEARAL

CI/CD & DevOps:

Experience with CI/CD pipelines and DevOps practices.GOOD TO HAVE BASIC SKILLS

Security & Compliance:

Strong understanding of data security, encryption, and compliance best practices.GOOD TO HAVE BASIC SKILLS

Soft Skills:

Excellent problem-solving, analytical, communication, and collaboration skills.GOOD TO HAVE BASIC SKILLS

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹2,000,000.00 per year

Benefits:

• Health insurance
• Paid time off
• Provident Fund

Application Question(s):

• Strong proficiency in IoT Core, Greengrass, Lambda, DMS, EventBridge, S3, CloudWatch, EC2, FSx, ECR, ECS, Secrets Manager, IAM, DynamoDB, EMR, Cognito, and CloudFormation. MUST TO HAVE AT LEAST 5-7 SKILLS
• Proficiency in Python andSQL for data processing, automation, and querying. MUST HAVE PYTHON, GOOD TO HAVE SQL, CDK and Terraform
• Hands-on experience with ETL tools and data transformation frameworks. NICE TO HAVE
• Experience with distributed data processing frameworks like Apache Spark
• Experience with CI/CD pipelines and DevOps practices

Work Location: In person