{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"

We are looking for a Data Engineer with 4-6 years of experience in building and maintaining scalable data solutions. The ideal candidate should have strong expertise in Databricks, PySpark, SQL, Amazon Redshift, Enterprise Data Lake (EDL), and AWS.

Responsibilities:

Develop and optimise ETL/ELT pipelines using Databricks, PySpark, SQL, and AWS.
Build and maintain Enterprise Data Lake (EDL) solutions and Redshift data warehouses.
Ensure SLA compliance, service uptime, and platform reliability.
Troubleshoot, perform root cause analysis, and resolve application/data pipeline issues.
Implement DevSecOps best practices and CI/CD using GitHub Actions.
Collaborate in Agile teams using Jira to deliver secure, high-quality data solutions.

Requirements:

Required Skills: Databricks, PySpark, SQL, Amazon Redshift, Enterprise Data Lake (EDL), AWS, GitHub Actions, and Jira.
Experience: 4-6 years in data engineering or a related role.

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