Associate Data Engineer

Anblicks Inc.; Hyderabad; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

A data solutions company is seeking a Data Engineer to design and extend cloud-native data pipelines for an Azure data platform. The role entails end-to-end development, including ingestion, data quality management, and schema validation across multiple sources. Candidates should have over 3 years of experience in data engineering, expertise in Microsoft Fabric, Azure Synapse Analytics, and proficiency in SQL to handle complex transformations. Attention to detail is crucial, as is experience with event-driven architectures.

Qualifications

• 3+ years of experience in data engineering, ETL/ELT development, and cloud data pipeline delivery.
• Strong hands-on experience with Microsoft Fabric (Dataflow Gen2, Lakehouse, Delta Tables) and Azure Synapse Analytics.
• Proficiency in SQL for complex data transformation and evaluation logic.

Responsibilities

• Design and build end-to-end data ingestion pipelines for multiple enterprise source systems.
• Implement Bronze–Silver–Gold Delta Table data layering along with schema mapping.
• Perform data quality validation, schema reconciliation, and lineage verification.

Skills

Data engineering

ETL/ELT development

Microsoft Fabric

Azure Synapse Analytics

SQL

Event-driven pipelines

Attention to detail

Tools

Azure Event Hub

Microsoft Purview

Job description

We are looking for a Data Engineer to build, extend, and operate cloud-native data pipelines as part of a large-scale Azure data platform. This role covers end-to-end pipeline development - from source system ingestion through Bronze–Silver–Gold transformation layers — along with configuration-based framework extensions, evaluation engine integration, and data quality gate management across multiple data domains.

Key Responsibilities

• Design and build end-to-end data ingestion pipelines for multiple enterprise source systems using Fabric Dataflow Gen2 and Event Hub connectors
• Implement Bronze–Silver–Gold Delta Table data layering following established schema and field mapping conventions
• Write and maintain SQL evaluation logic in Synapse Analytics for automated control assessment across multiple data domains
• Perform data quality validation, schema reconciliation, and lineage verification across all pipeline stages
• Support parallel-run validation activities ensuring data consistency between automated outputs and source reports

Required Skills & Experience

• 3+ years of experience in data engineering, ETL/ELT development, and cloud data pipeline delivery
• Strong hands-on experience with Microsoft Fabric (Dataflow Gen2, Lakehouse, Delta Tables) and Azure Synapse Analytics
• Proficiency in SQL for complex data transformation, evaluation logic, and cross-domain queries
• Experience building event-driven pipelines using Azure Event Hub and Event Grid
• Familiarity with config-driven or metadata-driven data pipeline frameworks
• Experience with Microsoft Purview for data lineage registration and catalog management is advantageous
• Ability to work in sprint-based delivery environments with multiple concurrent workstreams
• Strong attention to detail and ability to validate complex data flows end-to-end across multiple systems