Senior Data Engineer

Team Geek Solutions; Maharashtra; On-site; INR 1,400,000 - 1,900,000; Full time

Job summary

Team Geek Solutions in India is seeking a Senior Data Engineer to design and implement data pipelines, ingesting data into Microsoft Fabric Lakehouse and optimizing end-to-end processing.

You will configure Fivetran connectors, manage high-volume ingestion and backfill, and develop Bronze-to-Silver transformations with robust monitoring and promotion workflows across environments.

Qualifications

• 7+ years of data engineering experience.
• Hands-on 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

Data Modeling

Medallion Architecture

Microsoft Fabric

Azure Synapse

Data Factory

Fivetran

Big Data handling

Performance Tuning

Tools

Microsoft Fabric

Azure Synapse

Azure Data Factory

Fivetran

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