We are seeking an experienced Data Engineer to join our innovative data team data team and help build scalable data infrastructure, software consultancy, and development services that powers business intelligence, analytics, and machine learning initiatives. The ideal candidate will design, develop, and maintain robust high-performance data pipelines and solutions while ensuring data quality, reliability, and accessibility across the organization working with cutting-edge technologies like Python, Microsoft Fabric, Snowflake, Dataiku, SQL Server, Oracle, PostgreSQL, etc. Required Qualifications 5 + years of experience in Data engineering role. Programming Languages: Proficiency in Python Cloud Platforms: Hands-on experience with Azure (Fabric, Synapse, Data Factory, Event Hubs) Databases: Strong SQL skills and experience with both relational (Microsoft SQL Server, PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases Version Control: Proficiency with Git and collaborative development workflows Proven track record of building production-grade data pipelines handling large-scale data or solutions. Desired experience with containerization (Docker) and orchestration (Kubernetes) technologies . Knowledge of machine learning workflows and MLOps practices Familiarity with data visualization tools (Tableau, Looker, Power BI) Experience with stream processing and real-time analytics Experience with data governance and compliance frameworks (GDPR, CCPA) Contributions to open-source data engineering projects Relevant Cloud certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, Google Cloud Professional Data Engineer). Specific experience or certifications in Microsoft Fabric, or Dataiku, Snowflake.

Requirements: 5+ years of experience in DevOps or Cloud Engineering. Expertise in AWS (EC2, S3, RDS, Lambda, IAM, VPC, Route 53, etc.) and Azure (VMs, AKS, App Services, Azure Functions, Networking, etc.). Strong experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Bicep. Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps. Proficiency in scripting languages like Python, Bash, or PowerShell. Experience with Kubernetes (EKS, AKS) and containerization (Docker). Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK Stack, CloudWatch, and Azure Monitor. Familiarity with configuration management tools like Ansible, Puppet, or Chef. Strong understanding of security best practices in cloud environments. Experience with version control systems like Git. Excellent problem-solving skills and the ability to work in a fast-paced environment.