We are looking for a Data Platform Engineer with strong expertise in AWS SysOps, Amazon Redshift, Kafka administration, and Terraform. This role will involve managing and optimizing cloud-based data platforms, ensuring seamless data flow, and maintaining high-performance, scalable infrastructure.

Key Responsibilities :

- Manage and operate AWS environments with a focus on high availability, security, and performance.

- Administer and optimize Amazon Redshift clusters for analytics and data warehousing workloads.

- Perform Kafka cluster administration, including configuration, monitoring, scaling, and troubleshooting.

- Implement infrastructure as code using Terraform for consistent and repeatable deployments.

- Monitor system health and proactively resolve operational issues.

- Collaborate with data engineering and analytics teams to ensure smooth integration and data delivery.

- Maintain documentation of system configurations, processes, and troubleshooting guides.

Required Skills & Qualifications :

- 4+ years of experience in cloud infrastructure and data platform operations.

- Strong hands-on experience in AWS SysOps administration.

- Proven expertise in Amazon Redshift administration and performance tuning.

- Proficient in Kafka administration (setup, scaling, monitoring, and troubleshooting).

- Skilled in Terraform for infrastructure automation.

- Familiarity with AWS services like EC2, S3, IAM, CloudWatch, Lambda, etc.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

Nice-to-Have Skills :

- Experience with data ingestion/ETL pipelines.

- Familiarity with big data tools (Spark, Glue, EMR).

- Knowledge of containerization (Docker, Kubernetes).

Education :

- Bachelors degree in Computer Science, Information Technology, or equivalent practical experience.

Work Mode :

- Onsite Gurgaon Office (Full-time presence required).