Description

You will design, develop, and optimize enterprise-scale data solutions, ensuring reliability, performance, and compliance in a regulated environment.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines and complex transformation workflows.
• Develop and optimize data models for data warehouses and lakehouse architectures.
• Implement end-to-end data ingestion, transformation, and delivery automation.
• Support analytics and reporting by delivering high-quality, structured data.
• Document data architecture, pipelines, and processes for operational clarity.

Required Skills

• 10+ years of experience in data engineering.
• Strong proficiency in Python (pandas, PySpark) and SQL.
• Hands-on experience with Databricks (Delta Lake) and modern lakehouse architectures.
• Experience with AWS services including Glue, Step Functions, Lambda, and S3.
• Proficiency in ETL/ELT processes using Azure Data Factory or AWS Glue.
• Ability to work with structured and unstructured data across XLSX, CSV, JSON, and relational databases.
• Any Graduate degree.

Preferred Skills

• Familiarity with BI/reporting tools such as Power BI or Tableau.
• Experience with DevOps/DataOps practices and infrastructure as code (Terraform, ARM templates).

Key Skills

Education

Any Graduate