Data Engineer (Data Competency Center) @ Sigma Software
1 miesiąc temu
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.
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
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.
,[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: Data pipelines, Python, Scala, Spark, PySpark, Data engineering, Kafka, Airflow, AWS, Azure
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