jazzhr
Senior Data Engineer
NorthBay Solutions
UAE
Full-time
Senior · 5+ years experience
Hybrid
Discovered 3 weeks ago
PySparkAWS GlueAmazon EMRAmazon RedshiftSQLS3
Free
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PySparkAWS GlueAmazon EMR
Role Overview
We are seeking a highly skilled Senior Data Engineer with 5–8 years of experience in designing, developing, and optimizing large-scale data platforms and ETL/ELT pipelines. The ideal candidate will have strong hands-on expertise in PySpark, AWS Glue, Amazon EMR, Amazon Redshift, and SQL-based data warehousing , along with proven experience in performance tuning and data optimization.
The candidate will work closely with a UAE-based customer and must be comfortable collaborating with distributed teams while adhering to UAE working hours and holiday schedules.
Key Skills for This Role
PySparkAWS GlueAmazon EMRAmazon RedshiftSQLS3
Full Job Posting
Job Summary
We are seeking a highly skilled Senior Data Engineer with 5–8 years of experience in designing, developing, and optimizing large-scale data platforms and ETL/ELT pipelines. The ideal candidate will have strong hands-on expertise in PySpark, AWS Glue, Amazon EMR, Amazon Redshift, and SQL-based data warehousing , along with proven experience in performance tuning and data optimization.
The candidate will work closely with a UAE-based customer and must be comfortable collaborating with distributed teams while adhering to UAE working hours and holiday schedules.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark , AWS Glue , and Amazon EMR .
- Build and optimize data ingestion, transformation, and processing frameworks for structured and semi-structured data.
- Develop and maintain enterprise data warehouse solutions using Amazon Redshift .
- Write complex SQL queries, stored procedures, and data transformations to support analytics and reporting requirements.
- Implement ETL/ELT processes to move data efficiently across multiple systems and platforms.
- Perform performance tuning and optimization of Spark jobs, ETL pipelines, SQL queries, and Redshift workloads.
- Ensure data quality, integrity, security, and governance across data platforms.
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