Data Engineer

Overview

Data Engineer role focused on building and maintaining ETL/ELT data pipelines and governed data solutions for BI and analytics.

What you'll do

• Design, build, and maintain efficient ETL/ELT pipelines for data ingestion, transformation, and delivery.
• Implement Medallion architecture (Bronze, Silver, Gold layers) for modularity and data quality.
• Collaborate with the Data Architecture team to align with enterprise data models and architectural guidelines.
• Work with BI engineers and internal stakeholders to gather requirements and deliver scalable data solutions.
• Maintain hybrid data environments (on-premises and cloud) supporting data pipelines and storage systems.
• Implement monitoring, logging, and alerts for data pipeline performance.
• Support data governance, metadata management, data lineage, and access controls.

What you'll need

• 3–5 years of experience in data engineering or a similar technical role.
• Strong SQL skills for complex querying and performance tuning.
• Hands-on ETL/ELT development experience building robust, scalable data pipelines.
• Advanced Python and PySpark skills for data processing and transformation.
• Experience with C# for integration, automation, or pipeline components.
• Practical expertise with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks).
• Strong experience with Azure data services (ADF, ADLS, Synapse, Databricks, Azure SQL).

Details

• Location: Kochi, India.