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Senior Data Engineer

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  • Posted 3 days ago
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Job Description

'Candidates Who can come Face to Face Drive on 6th December can only apply

Job Title: Senior Data Engineer Talend

Location: Noida Sec 6

Experience Required: 7+ Years

Working Days : Mon to sat (Alternate Saturdays Off)

Education: BE/B.Tech, MCA, or MSc (IT) from a recognized institute

Job Summary

We are seeking a highly skilled Senior Data Engineer Talend with strong expertise in ETL development and data pipeline architecture. The ideal candidate will design, develop, and optimize large-scale data integration solutions to support analytics, reporting, and business intelligence initiatives across the organization.

Key Responsibilities

  • Design, build, and maintain scalable ETL pipelines using Talend for large data volumes.
  • Develop and optimize data integration workflows across multiple source systems.
  • Perform data modeling, design, and development for analytics and reporting solutions.
  • Work with Big Data technologies such as Hadoop and Spark for data transformation.
  • Implement data quality, validation, and governance frameworks.
  • Deploy and manage ETL solutions on cloud platforms (AWS, GCP, or Azure).
  • Monitor, tune, and troubleshoot data pipelines for high performance and reliability.
  • Collaborate closely with data architects, analysts, and business stakeholders to deliver data requirements effectively.
  • Essential Skills

    • Strong hands-on experience with Talend Data Integration and Talend-based solutions.
    • Excellent proficiency in SQL, performance tuning, and Fastload concepts.
    • Solid experience in Big Data integration using Hadoop/Spark.
    • Exposure to cloud ETL tools such as AWS Glue, GCP Dataflow, or Azure Data Factory.
    • Good understanding of data governance, metadata management, and data quality frameworks.
    • Strong analytical, problem-solving, and communication skills.
  • Preferred Qualifications

    • 7+ years of relevant experience in Data Engineering / ETL Development.
    • Experience working in large-scale enterprise data environments.

    Interested candidates can share their cv at 9632759009

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    Job ID: 134377251

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