High-Performance Data Engineering Expert Wanted

3 days ago


Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Job Title:

Data Engineer - ETL/SQL Specialist

About the Role

We are seeking an experienced Data Engineer to join our team. The successful candidate will be responsible for designing, developing and optimizing data models within Celonis Execution Management System (EMS).

The ideal candidate will have a strong background in SQL, ETL processes, and database management, with experience working with large-scale datasets and optimizing data models for performance.

The role involves working closely with business stakeholders and data analysts to understand data requirements and ensure accurate representation of business processes.

The successful candidate will also be required to 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.

This is a great opportunity to work on challenging projects and make a meaningful impact on the organization.

Key Responsibilities
  • Design, develop, and optimize data models within Celonis 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 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.
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.


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