Data Engineering

13 hours ago

Karachi, Sindh, Pakistan Xloop Digital Full time
Senior Data Engineer

Karachi

Full time

Remote

We are seeking an experienced Senior Data Engineer with strong expertise in Informatica Cloud to join
our data engineering team. In this role, you will be responsible for designing, developing, and optimizing
high-performance data pipelines and ensuring seamless data integration across cloud platforms. Your
technical expertise will help improve data flow and processing capabilities while supporting critical data
initiatives for the business.

Description

  • Develop and Maintain Data Pipelines: Design, develop, and maintain efficient data pipelines
    using Informatica Cloud, ensuring high performance, scalability, and data integrity.
  • Implement data integration solutions across multiple cloud platforms (AWS, Azure, GCP),
    ensuring seamless data movement and transformation.
  • Focus on building robust ETL pipelines to extract, transform, and load data from various sources
    into cloud-based storage and data warehouses.
  • Optimize the performance of data pipelines and integration processes to ensure speed,
    accuracy, and cost-efficiency.
  • Work closely with teams to implement data quality checks and ensure data integrity across the
    data pipelines
  • Identify and resolve issues in the data pipeline, and work to continuously improve processes for
    efficient data management
  • Collaborate with data analysts, data scientists, and other stakeholders to ensure the data
    pipelines support business analytics and decision-making.
  • Document all processes, data pipeline configurations, and troubleshooting steps for future
    reference and transparency.

Requirements

  • 5+ years of experience in data engineering, with strong hands-on experience in Informatica
    Cloud (Data Integration, Data Quality, etc.).
  • Extensive experience in designing and developing ETL pipelines and data integration workflows.
  • Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, and their integration
    with data engineering solutions.
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