Data Integration Engineer

3 days ago

Lahore, Punjab, Pakistan Remotiv Full time

1 day ago Be among the first 25 applicants

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Workplace type: Onsite - Lahore

Salary: Upto $2,500

Data Integration Engineer (Pakistan) – Join Our Client Team

We are seeking a Data Integration Engineer with hands-on experience in S/4HANA environments and cloud-based data solutions. The ideal candidate will have strong expertise in designing and building data integration frameworks, developing ETL/ELT pipelines, and implementing real-time data capture solutions. This role requires a proactive mindset and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

  • Design, develop, and deploy data integration solutions tailored for SAP S/4HANA systems.
  • Build and manage scalable ETL/ELT pipelines for extracting, transforming, and loading data across various systems.
  • Implement real-time data capture (CDC) mechanisms to ensure timely data availability and consistency.
  • Collaborate with cross-functional teams to gather data requirements and optimize data flow architectures.
  • Work closely with Azure or other cloud platforms to architect and manage cloud-based data integration solutions.
  • Ensure data quality, integrity, and compliance across all data pipelines and integrations.
  • Monitor and troubleshoot data pipeline performance, addressing bottlenecks and data issues proactively.

Required Qualifications:

  • 3+ years of experience in data engineering, data integration, or a similar role.
  • Proven experience working with SAP S/4HANA data structures and integration tools.
  • Strong knowledge of ETL/ELT concepts and tools (e.g., Azure Data Factory, Informatica, Talend, etc.).
  • Hands-on experience with real-time data processing and CDC tools (e.g., Debezium, SAP SLT, Kafka).
  • Proficiency in cloud platforms, particularly Microsoft Azure.
  • Familiarity with SQL, data modeling, and scripting languages (Python, Shell, etc.).
  • Strong problem-solving skills and ability to work independently or in a team environment.

Preferred Skills:

  • Experience with Azure Synapse, Databricks, or Snowflake.
  • Background in data governance and data security best practices.
  • Knowledge of API-based integrations and microservices architecture.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesTechnology, Information and Internet

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