Data Engineer (F/M/D)

freudenberg

Bangalore 5 Years Exp Posted 17d ago

Job Description

Responsibilities

  • Data Management
  • Implement ETL processes for structured data with T-SQL
  • Develop, operate, and maintain robust data pipelines using Microsoft Fabric components: Data Factory, Warehouse, T-SQL
  • Write and optimize T-SQL queries, stored procedures, and data models
  • Interface Integration: Design and maintain seamless data interfaces to ensure consistent and accurate data flow between source systems and the data platform.
  • Data Providing: Manage the provisioning of clean, validated data sets to downstream consumers, ensuring timely and efficient data delivery.
  • Collaborate with BI developers, analysts, and data scientists to deliver reliable data products
  •  
  • Monitoring & Operation
  • Ensure the stability, performance, and availability of data platforms in production
  • Troubleshoot data pipeline and ETL failures and perform root cause analysis
  • Monitor job executions, implement alerting, and ensure incident resolution
  • Automate routine operations and improve observability (e.g. logging, metrics, dashboards)

Qualifications

  • Qualifications:
  • Education:Degree in Information Technology, Computer Science, or a related field.
  • Technical Skills:Expertise in T-SQL for complex query development, optimization, and troubleshooting.
  • Practical experience with Microsoft Fabric (OneLake, Synapse, Data Factory) for data pipeline development and operations.
  • Basic scripting skills in Python and PowerShell for automation
  • Knowledge of DevOps methodologies and monitoring
  • Experience: 
  • A profile with 5+ years of experience in Data Management / Data Engineering
  • Proven track record of developing and deploying ETL pipelines, Data Warehouse solution or other data platforms
  • Soft Skills: 
  • Strong analytical and problem-solving skills. 
  • Excellent communication and interpersonal skills. 
  • Ability to work independently and as part of a team. 
  • Work with teams across departments
    • Strong attention to detail and commitment to quality. 

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