Role Overview

Marktine; India; Sur place; INR 3 500 000 - 6 000 000; Plein temps

Résumé du poste

Marktine is seeking a Senior Data Engineer to design and operate ingestion and transformation pipelines into Microsoft Fabric Lakehouse environments. You will optimize Fivetran connectors, implement Bronze-to-Silver pipelines, and handle high-volume data loads across enterprise sources.

The role requires 7+ years of data engineering experience with SQL, Python, and data modeling, plus hands-on work with Microsoft Fabric or Azure Synapse and Fivetran.

Qualifications

• 7+ years of data engineering experience.
• Hands-on with Microsoft Fabric or Azure Synapse/Data Factory.
• Strong Fivetran or ELT tooling experience.
• Experience handling high-volume datasets (hundreds of millions of records).
• Proficiency in SQL, Python, and data modeling concepts.
• Knowledge of Medallion architecture.

Responsabilités

• Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.).
• Manage large-volume ingestion and backfill operations.
• Implement Bronze to Silver transformation pipelines.
• Develop incremental load and CDC logic.
• Optimize Lakehouse performance and storage patterns.
• Support Dev/Test/Prod promotion processes.

Connaissances

SQL

Python

Data modeling

Medallion architecture

Fivetran

Microsoft Fabric

Azure Synapse

Outils

Fivetran

Microsoft Fabric

Azure Synapse/ADF

Description du poste

Senior Data Engineer (Microsoft Fabric & Fivetran)

c2c

7-10 Years

Salary Not Disclosed

Full Time

0-15 Days / Currently serving notice period

6 Months

2 months ago

Job Description

• Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)
• Manage large-volume ingestion and backfill operations
• Implement Bronze to Silver transformation pipelines
• Develop incremental load and CDC logic
• Optimize Lakehouse performance and storage patterns
• Support Dev/Test/Prod promotion processes

Required Qualifications

• 7+ years of data engineering experience
• Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory
• Strong experience with Fivetran or similar ELT tools
• Experience handling high-volume datasets (hundreds of millions of records)
• Proficiency in SQL, Python, and data modeling concepts
• Strong understanding of Medallion architecture

Job Highlights

Role Overview

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

Key Skills

• Fivetran connectors configuration and optimization
• Oracle
• SQL DB
• Bronze to Silver transformation pipelines implementation
• Incremental load and CDC logic development
• Lakehouse performance optimization
• Storage patterns optimization