Data Engineer -Palantir Foundry and Ontology

We are looking for an experienced Data Engineer with strong expertise in Databricks, SQL, Python, ETL/ELT pipelines, and Ontology-based data modeling. The role involves designing scalable data solutions, building enterprise data pipelines, and supporting data integration initiatives in a cloud-based environment. Responsibilities Design, develop, and maintain scalable ETL and ELT pipelines using Databricks and Python. Build and optimize data pipelines to process large volumes of structured and unstructured data. Develop and maintain ontology-based data models to support enterprise data management and business workflows. Design scalable data integration solutions across multiple data sources. Develop high-performance SQL queries and optimize data processing workloads. Implement data quality checks, validation, lineage, and governance processes. Collaborate with business stakeholders, architects, and engineering teams to translate business requirements into scalable technical solutions. Support cloud-based data platforms and modern data lake architectures. Participate in data modeling, performance tuning, troubleshooting, and production support activities. Ensure data security, reliability, and compliance with enterprise standards., As a Data Engineer, you will be instrumental in designing and optimizing robust ETL pipelines and data workflows. This expert-level, remote position is ideal for professionals who …

• 15 hours ago, Join a dynamic team as a Software Engineer, contributing to innovative backend software development and AI model evaluation. This role offers the opportunity to leverage your engin…
• 3 days ago +

Minimum 10+ years of Data Engineering experience. Strong hands-on experience with Databricks. Advanced SQL programming and query optimization skills. Strong Python development experience. Experience building ETL and ELT pipelines. Hands-on experience with Ontology-based data modeling or enterprise ontology platforms. Experience with cloud data platforms such as Azure or AWS. Knowledge of data warehousing concepts, data modeling, and data governance. Experience working with REST APIs and data integration frameworks. Strong analytical, problem-solving, and communication skills. Preferred Skills Experience with Palantir Foundry and Ontology. Experience with Azure Data Factory, Spark, PySpark, and Data Lake technologies. Knowledge of data lineage, metadata management, and enterprise data governance. Experience working in Agile development environments., Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field. Relevant technical certifications are an added advantage.