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Benefits offered by this job
Flexible working hours
Health insurance for T4 Employees
Professional development fund
15 days of paid time off
Access to soft-skill development courses
Job summary
A leading data solutions company is seeking a Senior Data Engineer to join their fully remote team. In this role, you will design and build scalable ETL/ELT pipelines using Databricks on AWS, ensuring data quality and collaborating closely with cross-functional teams. The ideal candidate has over 7 years of experience in data engineering and strong skills in Python, SQL, and distributed data processing. The position offers flexible working hours and a competitive benefits package.
Qualifications
7+ years of experience as a Data Engineer.
Strong hands-on experience with Python, SQL, PySpark, Databricks, and AWS.
Proven experience designing and building end-to-end data pipelines.
Responsibilities
Design, build, and maintain scalable ETL / ELT pipelines using Databricks, PySpark, and AWS.
Collaborate closely with product, analytics, and engineering teams.
Ensure data quality, performance, and reliability.
Skills
Data Engineering
Python
SQL (advanced)
PySpark
Databricks
Tools
AWS
Job description
A leading data solutions company is seeking a Senior Data Engineer to join their fully remote team. In this role, you will design and build scalable ETL/ELT pipelines using Databricks on AWS, ensuring data quality and collaborating closely with cross-functional teams. The ideal candidate has over 7 years of experience in data engineering and strong skills in Python, SQL, and distributed data processing. The position offers flexible working hours and a competitive benefits package.