AWS Data Engineer

Overview

Hiring AWS Cloud Data Engineering for one of our client MNC

Location: remote

Job type: contractual for 1 yr + extendable

Exp: 5+ yrs

Key Responsibilities:

Design, develop, and maintain scalable and efficient data pipelines on AWS.

Implement data ingestion, transformation, and processing using AWS services such as Glue, Lambda, Kinesis, S3, and Step Functions.

Work with Redshift, Athena, RDS, DynamoDB, and Snowflake to optimize data storage and retrieval.

Develop and maintain ETL workflows using AWS Glue, Apache Spark, or Python.

Ensure data integrity, security, and compliance following best practices.

Implement and manage CI/CD pipelines for data engineering workloads.

Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements.

Optimize performance and cost of data pipelines and cloud storage solutions.

Monitor and troubleshoot data workflows using CloudWatch, AWS X-Ray, and logging frameworks.

Required Skills & Experience:

5-6 years of experience in AWS Cloud Data Engineering.

Hands-on experience with AWS services like Glue, Redshift, S3, Lambda, Athena, Kinesis, and Step Functions.

Strong programming skills in Python, PySpark, or SQL.

Experience with data modeling, schema design, and query optimization.

Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka.

Knowledge of data security best practices (IAM roles, encryption, VPCs, etc.).

Experience in Terraform or CloudFormation for Infrastructure as Code (IaC).

Working knowledge of Git, Docker, and Kubernetes for deployment and version control.

Strong problem-solving skills with a focus on automation and scalability.

Preferred Qualifications:

AWS Certified Data Analytics – Specialty or Solutions Architect – Associate.

Job Type: Contractual / Temporary
Contract length: 16 months

Pay: ₹1,500,000.00 - ₹2,200,000.00 per year

Experience:

• Nifi: 4 years (Required)

Work Location: In person

Speak with the employer
+91 8595747650