Seeking a skilled Data Engineer to lead at Sigma Software's Data Competency Center, passionate about advancing expertise in data processing. 

Join us at Sigma Software to be at the forefront of the most interesting projects and play a pivotal role in the growth and success of our initiatives and Competence Center. 

CUSTOMER

We are looking for a Data Engineer who not only has strong expertise in data engineering but is also ready to take on a driver role, contributing to our Data Competency Center within Sigma Software. We seek someone passionate about data processing who strongly desires to grow their skills and expertise in this field.

RESPONSIBILITIES

Create ETL pipelines, orchestration configurations, CI/CD automation, scripts, etc. 

Analyze, organize, and interpret raw data using a modern data stack 

Create SQL queries to efficiently manipulate data 

Contributing to and spearheading Data Engineering excellence: Research technology trends and conduct best practices analysis to ensure our solutions remain state-of-the-art 

REQUIREMENTS

Proficiency in building, maintaining, testing, and delivering large-scale data pipelines 

ETL/ELT expertise: Practical experience with at least one end-to-end solution and its start, development, and maintenance 

Strong knowledge of SQL 

Experience and theoretical understanding in data modeling and database optimizations 

At least 3 years of proficiency in Python/Scala for data processing and transformations 

Experience with Spark, with a focus on PySpark 

Hands-on experience with main frameworks and libraries in Data Engineering domains: Spark, Kafka, Airflow, etc., with a proven record of debugging and optimization experience 

Experience with cloud-based data processing solutions on AWS/Azure 

WOULD BE A PLUS

Databricks experience/certification