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- APIs
- Paid sick time
Quick apply
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Azure data engineer 2- 5 yrs of experience

Contract to Hire
Bangalore City, Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹7,09,356.57 - ₹12,66,829.63 a year
13 days ago

Benefits

Provident Fund
Paid sick time

Qualifications

CI/CD
Azure
XML
Spark
Encryption
Git
SQL
RBAC
Continuous integration
REST
APIs
JSON
Python
T-SQL

Full job description

Key Responsibilities:Data Pipeline Development

Design and build ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric Data Pipelines, Databricks, and Fabric Notebooks
Implement medallion architecture (Bronze/Silver/Gold) in Fabric Lakehouse environments
Develop transformation logic using T-SQL, Spark SQL, PySpark, and Dataflows Gen2
Build and maintain dimensional models (star/snowflake schema) and Data Vault models
Implement incremental loading patterns using CDC, watermarking, and delta detection
Create reusable pipeline components, templates, and parameterized frameworks
Optimize pipeline performance through partitioning, parallelization, and query tuning

Legacy-to-Fabric Migration

Convert legacy ETL mappings, workflows, and scheduling logic to Microsoft Fabric/ADF equivalents
Recreate parameter files, session configurations, and orchestration patterns in Fabric
Execute unit testing and data reconciliation to validate migrated pipelines produce identical results
Document conversion patterns, technical decisions, and issue resolutions
Support parallel runs and cutover validation

Data Quality & Testing

Build data quality checks and validation frameworks embedded within pipelines
Develop automated testing strategies (unit, integration, regression) for data pipelines
Create monitoring dashboards and alerting for pipeline failures and data anomalies
Perform source-to-target reconciliation for both BAU and migration workloads

Platform Operations & Collaboration

Monitor, troubleshoot, and optimize production pipelines
Implement logging, error handling, and retry mechanisms
Support CI/CD pipelines for data solutions using Azure DevOps and Git
Manage environment promotions (DEV → QA → PROD) and participate in on-call rotation
Implement security best practices: RBAC, encryption, data masking, workspace security
Collaborate with Data Architects, Business Analysts, DevOps, and BI teams
Maintain technical documentation: pipeline specs, data dictionaries, and runbooks

Technical Skills:Microsoft Fabric & Azure

Microsoft Fabric — Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks
Azure Data Factory v2 — pipelines, linked services, integration runtimes, triggers
Azure Synapse Analytics — Dedicated SQL Pools, Serverless SQL, Spark Pools
Azure Data Lake Storage Gen2, OneLake, Shortcuts, and Direct Lake mode

SQL & Programming

Expert-level T-SQL — stored procedures, complex queries, performance tuning
Python for data processing and automation
PySpark for large-scale data transformations
Familiarity with JSON, XML, and REST APIs

Informatica Platform

Development experience with Informatica PowerCenter (Designer, Workflow Manager, Workflow Monitor)

Data Platforms & Formats

Delta Lake format and Delta table operations
Apache Spark architecture and optimization
Data partitioning strategies and performance tuning
Parquet and Avro file formats
Dimensional modeling and Data Vault concepts

DevOps & Governance

Git version control and Azure DevOps (Repos, Pipelines)
CI/CD implementation for data solutions
Fabric workspace deployment pipelines
Data lineage, metadata management, and data cataloging
Security best practices — RBAC, encryption, masking
Awareness of compliance standards (GDPR, HIPAA, SOC2)

Pay: ₹709,356.57 - ₹1,266,829.63 per year

Benefits:

Paid sick time
Provident Fund

Work Location: In person

Quick apply

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