Data Engineer -- Data Bricks

CanadaRemoteFull TimePosted 2 months ago

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Role summary

Acunor is seeking a remote Data Engineer with 7-12 years of experience, specializing in Databricks and Azure cloud, to construct scalable data pipelines within the insurance sector. The role involves developing and optimizing ETL/ELT processes using PySpark, Python, and SQL, leveraging Azure Data Factory, Databricks, and Data Lake. Key responsibilities include implementing data quality checks, performing data modeling for warehousing solutions, and monitoring/troubleshooting data pipelines. Experience with data modeling, performance tuning, and Agile methodologies is essential.

Acunor is Hiring:
Data Engineer

Location: Remote

Experience: 7 to 12 years

We are looking for a Data Engineer with strong experience in Databricks and Azure cloud to build scalable data pipelines and support data driven solutions in an insurance environment

Develop and optimize ETL ELT pipelines using PySpark Python and SQL

Work with Azure Data Factory Databricks and Data Lake for data processing

Implement data quality checks and ensure data accuracy and integrity

Perform data modeling and support data warehousing solutions

Monitor and troubleshoot data pipelines and workflows

✅ Must Have Skills

✔ Strong experience with PySpark Python and SQL

✔ Experience with Databricks Delta Lake and ETL pipelines

✔ Hands on Azure cloud experience ADF Databricks Data Lake

✔ Experience with data modeling and performance tuning

✔ Agile experience and strong problem solving skills

✔ Insurance domain experience

Ready to apply?

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