Data Engineer in Ensitech

At *Ensitech*, we focus on custom software development and have been serving clients in the USA, Europe, and Canada for over 19 years. Our team includes analysts, software engineers, designers, marketing professionals, and data scientists who collaborate to create innovative products. We aim to empower governments and companies to become more agile and connected to their markets using Cloud, Mobile, and Big Data technologies. Join us, and you'll work on scalable data solutions and high-performance data pipelines with a team that values continuous improvement and innovation.

• Data Engineering & Pipeline Development: Design, build, and maintain ETL/ELT pipelines for data ingestion and transformation. Optimize workflows for performance and reliability while implementing real-time and batch processing with tools such as Apache Spark, Kafka, and Databricks.
• Database & Cloud Infrastructure: Ensure efficient data partitioning and indexing, managing both SQL and NoSQL databases on platforms like Azure, AWS, and GCP. Utilize serverless computing for large-scale processing.
• Data Governance & Security: Implement data validation and monitoring, while enforcing governance and compliance policies such as GDPR and CCPA, maintaining documentation for data assets.
• DevOps & Automation: Optimize query performance and storage using tools like Docker, Kubernetes, and Airflow. Implement CI/CD pipelines with Terraform or CloudFormation.
• Collaboration & Innovation: Stay updated on the latest technologies, partnering with data scientists and engineers to enhance AI/ML and analytics initiatives.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 2-5+ years of experience in data engineering or cloud data solutions.
• Proficiency in Python, SQL, or Scala for effective data processing.
• Experience with cloud data services such as Azure Data Factory and Databricks.
• Hands-on experience with big data frameworks, including Apache Spark, Hadoop, and Databricks.
• Strong knowledge of data modeling, database optimization, and API-based integration.

• Experience with streaming data processing (Kafka, Event Hubs, Kinesis).
• Familiarity with CI/CD pipelines and Infrastructure as Code tools like Terraform.
• Certifications in Azure, AWS, or GCP related to data engineering.

• ✅ 100% remote opportunity.
• ✅ Competitive salary and benefits.
• ✅ Custom benefit package aligned to your experience and needs.
• ✅ Opportunity to work with foreign clients.