Senior Data Engineer
1 day ago
Role Overview
We are seeking a highly skilled Senior Data Engineer with strong expertise in building scalable, secure, and high-performance data solutions on AWS. The ideal candidate should have hands-on experience with Databricks (DBX), distributed data processing, cloud-native frameworks, and automation using Terraform.
Key Responsibilities
- Design, develop, and optimize data pipelines on AWS leveraging EMR, EKS, and Databricks.
- Implement Infrastructure as Code (IaC) using Terraform to automate cloud deployments.
- Develop scalable solutions using Scala, Python, and Java for big data processing.
- Integrate structured, semi-structured, and unstructured data sources into the data platform.
- Collaborate with data scientists, analysts, and application teams to deliver end-to-end solutions.
- Ensure platform security, reliability, cost optimization, and adherence to best practices.
- Implement CI/CD pipelines and monitoring for data workflows.
- AWS Cloud Services: EMR, EKS, S3, IAM, Lambda, Glue, VPC.
- Databricks (DBX): Delta Lake, Spark, MLflow (nice to have).
- Programming: Strong proficiency in Scala, Python, Java.
- Infrastructure as Code (IaC): Terraform (must-have).
- Data Engineering: Spark, distributed computing, data pipelines, orchestration.
- DevOps/CI-CD: Git, Jenkins, Docker, Kubernetes (EKS).
- Strong problem-solving, debugging, and optimization skills.
- Experience with event-driven architectures (Kafka, Kinesis).
- Familiarity with data governance, lineage, and security frameworks.
- Knowledge of Agile methodologies and collaborative development practices.
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