Senior Data Engineer

1 day ago


Dallas, TX, United States Purple Drive Full time
****************LOCAL ONLY*******************

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.
Required Skills

  • 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.
Nice-to-Have 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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