Data Engineer (Data Competency Center)

We are looking for a Data Engineerl 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.

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

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 4 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

WILL BE A PLUS

- Experience with CI/CD in data engineering

- Exposure to BI tools like Tableau, Qlik, Grafana, or similar

- Databricks experience/certification

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: Researching technology trends and conducting best practices analysis to ensure our solutions remain state-of-the-art