About the Role:
We are seeking an experienced Senior Data Engineer with a strong background in data modeling and database design. The ideal candidate will play a crucial role in designing, implementing, and optimizing data models that drive process mining insights and business efficiency. This is an opportunity to work with cutting-edge technology and collaborate with cross-functional teams to unlock the full potential of enterprise data.
Key Responsibilities:
•Design, develop, and optimize data models within the Celonis Execution Management System (EMS).
•Extract, transform, and load (ETL) data from flat files and UDP into Celonis.
•Work closely with business stakeholders and data analysts to understand data requirements and ensure accurate representation of business processes.
•Develop and optimize PQL (Process Query Language) queries for process mining.
•Collaborate with group data engineers, architects, and analysts to ensure high-quality data pipelines and scalable solutions.
•Perform data validation, cleansing, and transformation to enhance data quality.
•Monitor and troubleshoot data integration pipelines, ensuring performance and reliability.
•Provide guidance and best practices for data modeling in Celonis.
Qualifications & Skills:
•5+ years of experience in data engineering, data modeling, or related roles.
•Proficiency in SQL, ETL processes, and database management (e.g., PostgreSQL, Snowflake, BigQuery, or similar).
•Experience working with large-scale datasets and optimizing data models for performance.
•Data management experience that spans across the data lifecycle and critical functions (e.g., data profiling, data modeling, data engineering, data consumption product and services).
•Strong problem-solving skills and ability to work in an agile, fast-paced environment.
•Excellent communications and demonstrated hands-on experience communicating technical topics with non-technical audiences.
•Ability to effectively collaborate and manage the timely completion of assigned activities while working in a highly virtual team environment.
•Excellent collaboration skills to work with cross-functional teams.
Nice to Have:
•Experience with Python or other scripting languages for data processing.
•Familiarity with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
•Knowledge of business process management (BPM) methodologies.
•Understanding of process mining concepts and business process optimization.
•Previous experience in process mining
•Understanding of APIs and their integration with data platforms.
•Insurance domain knowledge or working experience.
About the Role:
We are seeking an experienced Senior Data Engineer with a strong background in data modeling and database design. The ideal candidate will play a crucial role in designing, implementing, and optimizing data models that drive process mining insights and business efficiency. This is an opportunity to work with cutting-edge technology and collaborate with cross-functional teams to unlock the full potential of enterprise data.
Key Responsibilities:
•Design, develop, and optimize data models within the Celonis Execution Management System (EMS).
•Extract, transform, and load (ETL) data from flat files and UDP into Celonis.
•Work closely with business stakeholders and data analysts to understand data requirements and ensure accurate representation of business processes.
•Develop and optimize PQL (Process Query Language) queries for process mining.
•Collaborate with group data engineers, architects, and analysts to ensure high-quality data pipelines and scalable solutions.
•Perform data validation, cleansing, and transformation to enhance data quality.
•Monitor and troubleshoot data integration pipelines, ensuring performance and reliability.
•Provide guidance and best practices for data modeling in Celonis.
Qualifications & Skills:
•5+ years of experience in data engineering, data modeling, or related roles.
•Proficiency in SQL, ETL processes, and database management (e.g., PostgreSQL, Snowflake, BigQuery, or similar).
•Experience working with large-scale datasets and optimizing data models for performance.
•Data management experience that spans across the data lifecycle and critical functions (e.g., data profiling, data modeling, data engineering, data consumption product and services).
•Strong problem-solving skills and ability to work in an agile, fast-paced environment.
•Excellent communications and demonstrated hands-on experience communicating technical topics with non-technical audiences.
•Ability to effectively collaborate and manage the timely completion of assigned activities while working in a highly virtual team environment.
•Excellent collaboration skills to work with cross-functional teams.
Nice to Have:
•Experience with Python or other scripting languages for data processing.
•Familiarity with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
•Knowledge of business process management (BPM) methodologies.
•Understanding of process mining concepts and business process optimization.
•Previous experience in process mining
•Understanding of APIs and their integration with data platforms.
•Insurance domain knowledge or working experience.