Job Title: Data Integration Engineer (ADF | Striim | Microsoft Fabric)

Experience: 3 4 Years

Location: Hyderabad preferred (remote)

Shift: 1 Week night shift per month

3 weeks morning/afternoon shift

Job Summary

We are looking for a motivated and analytical Data Integration Engineer with up to 4 years of experience in building, monitoring, and supporting modern data integration solutions. The ideal candidate should have hands-on experience with Azure Data Factory (ADF), Striim, and Microsoft Fabric, with strong ETL troubleshooting capabilities and excellent client communication skills.

The role involves working directly with customers to monitor data pipelines, resolve production issues, optimize ETL workflows, and ensure seamless data movement across enterprise systems.

Key Responsibilities

Good at ServiceNow monitoring queues and updating with progress

Develop, maintain, and support ETL/ELT pipelines using Azure Data Factory (ADF).

Monitor and troubleshoot data pipelines built on ADF, Striim, and Microsoft Fabric.

Perform root cause analysis of ETL failures and implement permanent fixes.

Debug data transformation, ingestion, and integration issues across multiple data sources.

Monitor production data workflows to ensure SLA adherence and data quality.

Work closely with client stakeholders to understand issues, provide updates, and drive issue resolution.

Analyze logs, pipeline executions, and performance bottlenecks to improve reliability.

Support deployment, testing, and migration of ETL solutions across environments.

Collaborate with data engineers, architects, and business teams to deliver scalable data integration solutions.

Document technical solutions, troubleshooting steps, and operational runbooks.

Participate in production support and incident management activities.

Required Skills

Technical Skills

Hands-on experience with Azure Data Factory (ADF).





Working knowledge of Striim for real-time data integration and CDC pipelines.

Experience with Microsoft Fabric, including Data Factory, Lakehouse, or Data Engineering workloads.

Strong understanding of ETL/ELT concepts and data integration best practices.

Experience debugging failed ETL jobs, pipeline failures, and data quality issues.

Knowledge of SQL for data validation and troubleshooting.

Familiarity with relational databases and cloud-based data platforms.

Understanding of production monitoring and incident management processes.

Preferred Skills

Exposure to Azure Data Lake, Synapse Analytics, or SQL Server.

Basic knowledge of Python or PowerShell for automation.

Understanding of CI/CD concepts for data engineering.

Familiarity with version control tools such as Git.

Soft Skills

Excellent analytical and problem-solving abilities.

Strong ETL debugging and troubleshooting skills.

Excellent verbal and written communication skills.

Ability to interact confidently with client stakeholders.

Robust customer service orientation and ownership mindset.

Ability to prioritize multiple production issues in a fast-paced environment.

Team player with a proactive approach to identifying and resolving issues.

Education

Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline.

What Were Looking For

3 4 years of experience in Data Engineering or ETL Support.

Strong debugging mindset with the ability to quickly identify and resolve production issues.

Comfortable working in client-facing environments and handling stakeholder communication.

Passion for delivering reliable, high-quality data integration solutions with excellent customer satisfaction.

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying

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