Cloud Engineer

Role: AWS Data Engineer Location: Whippany NJ, Onsite Duration: 6-12 Months (with possible extension) Job Summary: We are looking for a highly skilled AWS Data Engineer with strong expertise in Python, Kafka, AWS Lambda, and Kinesis. The ideal candidate will design and implement scalable, real-time data pipelines and ensure reliable data ingestion, transformation, and delivery across the analytics ecosystem. Key Responsibilities: • Design, build, and optimize data pipelines and streaming solutions using AWS services (Kinesis, Lambda, Glue, S3, Redshift, etc.). • Develop and maintain real-time data ingestion frameworks leveraging Kafka and Kinesis. • Write clean, efficient, and reusable Python code for ETL and data transformation. • Implement event-driven and serverless architectures using AWS Lambda. • Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions. • Monitor and troubleshoot data flow and performance issues in production environments. • Ensure data quality, security, and compliance with enterprise standards. Required Skills & Experience: • 5+ years of experience as a Data Engineer or similar role. • Strong hands-on expertise with AWS cloud services (Kinesis, Lambda, Glue, S3, IAM, Redshift). • Proficiency in Python for data engineering and automation tasks. • Experience with Apache Kafka for streaming and messaging pipelines. • Strong understanding of data modeling, ETL workflows, and distributed data systems. • Working knowledge of SQL and data warehousing concepts. • Familiarity with CI/CD pipelines and infrastructure as code (IaC) using CloudFormation or Terraform is a plus.