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We are seeking a skilled Data Engineer to develop and maintain robust data pipelines. Your role will involve ingesting, processing, and transforming large datasets from diverse sources, ensuring efficient data flow and integrity. You will design data models and schemas for data warehouses and lakes, supporting advanced analytics and reporting needs. Collaboration with data scientists and analysts is key to ensuring data accessibility and quality.

Key responsibilities include automating data extraction, transformation, and loading processes using various ETL tools. You'll also monitor and optimize data pipeline performance, implement best practices for data processing, and write efficient scripts for data validation and automation. Integrating data solutions with existing infrastructure using Infrastructure as Code tools and managing containerized data applications are also part of this role. Ensuring compliance with data governance and security best practices, embedding DevSecOps principles, and participating in code reviews are essential. You will mentor junior engineers and contribute to documentation for knowledge sharing and onboarding.

- Develop and maintain scalable data pipelines using tools like Apache Kafka, Apache Spark, or AWS Glue. - Design and implement data models and schemas in data warehouses and data lakes. - Collaborate with data scientists and analysts to understand data requirements. - Utilize ETL tools to automate data extraction, transformation, and loading processes. - Monitor and optimize data pipeline performance using tools like Apache Airflow. - Write, test, and maintain scripts in Python, SQL, or Bash for data processing. - Implement CI/CD practices for data engineering workflows. - Collaborate with DevOps teams to integrate data solutions into existing infrastructure. - Manage containerized data applications using Docker and orchestrate with Kubernetes. - Implement monitoring and logging solutions using tools like Prometheus, Grafana, or ELK Stack. - Ensure compliance with data governance, security, and privacy regulations. - Participate in code reviews and contribute to best practices development. - Mentor junior data engineers. - Contribute to the documentation of data architecture, processes, and workflows. - Demonstrate strong communication skills for cross-functional team collaboration.

We are looking for a DevOps Engineer with over 5 years of comprehensive Cloud and DevOps experience, including leadership. A Bachelor's or Master's degree in Computer Science is required.

Expert proficiency in Terraform and extensive experience across at least two major cloud platforms (AWS, Azure, GCP) are essential. Strong hands-on experience with Kubernetes, Helm charts, and designing/optimizing CI/CD pipelines (e.g., Jenkins, GitLab CI) is a must. Proficiency in Python and scripting languages like Bash/PowerShell is also required.

Valued experience includes leading cloud migrations, contributing to RFP/RFI processes, and team mentoring. Excellent problem-solving, communication, and collaboration skills are critical. Experience with configuration management tools (Ansible, Puppet) and DevSecOps principles is required; OpenShift is considered a plus.

Technical skills and certifications include cloud platforms (e.g., AWS Certified Solutions Architect, Azure Administrator, Google Professional Cloud Architect), Terraform, Kubernetes, Python, CI/CD, Ansible, security tools, and monitoring tools.