Senior Data Engineer

Team Geek Solutions; Bengaluru; On-site; INR 2,200,000 - 4,200,000; Full time

Job summary

Team Geek Solutions is seeking a Senior Data Engineer to design and operate data pipelines focused on the Microsoft Fabric Lakehouse. You will own ingestion, transformation, and optimization of enterprise data sources and manage high-volume loads across multiple environments.

The role requires hands-on experience with Fabric or Azure Synapse, Fivetran, SQL and Python, and a strong grasp of medallion architecture. This WFO position follows a UK shift and immediate joiner/notice period.

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.

Responsibilities

• Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.
• 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.
• Implement monitoring (record counts, load duration, failure tracking).
• Support Dev/Test/Prod promotion processes.

Skills

SQL

Python

Medallion architecture

Microsoft Fabric

Azure Synapse

Azure Data Factory

Fivetran

Data modelling

Data engineering

Job description

Position

Senior Data Engineer

Location

Chennai / Pune / Bangalore / Hyderabad

Working Type

WFO

Shift

UK Shift (2:00 – 11:00 PM)

Notice Period

Immediate Joiner/Serving Notice Period

Job Description

Key Responsibilities:

• Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.
• 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.
• Implement monitoring (record counts, load duration, failure tracking).
• 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.

Skills

etl, azure, data factory, azure synapse, data engineer, sql, python, medallion, microsoft fabric, data modelling, fivetran, architecture, microsoft