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    Engineer – Data Engineering & Analytics

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    Company NameMillenniumIT ESP
    Company TypePrivate
    Job TypeFull-Time
    Salary RangeMarket Competitive
    LocationColombo, Western Province, Sri Lanka
    QualificationsBachelor’s Degree
    Experience2 Year+

    Job Overview

    MillenniumIT ESP is seeking a talented Engineer – Data Engineering & Analytics to join their team in Colombo, Sri Lanka. This role involves designing, developing, and maintaining robust data pipelines and analytical solutions to support the company’s purpose-driven technology solutions across various industry sectors.

    Company Overview

    MillenniumIT ESP (MIT ESP) has always stood for purpose-driven technology solutions for businesses across the globe. We are your complete Enterprise Solutions Provider! We have a proven track record of serving global customers for over 25 years. MIT ESP provides technology solutions and services around Core Infrastructure, Cloud, Cyber Security, Enterprise Applications, Intelligent Automation and Data, Smart Buildings, and Managed Services. We have a strong presence across a variety of industry sectors including Telecommunication and Media, Banking and Finance, Manufacturing and Retail, Government, and Commercial Sector. Currently, MIT ESP is on a growth drive with plans to expand our footprint globally across all sectors.

    Quick Details

    • Salary Range: Market Competitive
    • Job Type: Full-time
    • Qualifications: Bachelor’s Degree
    • Experience: 2 Year+

    Key Responsibilities

    • Design, develop, and maintain scalable and efficient data pipelines.
    • Implement data ingestion, transformation, and storage solutions.
    • Work with large datasets to extract meaningful insights and support business intelligence.
    • Develop and optimize analytical models and reporting tools.
    • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
    • Ensure data quality, integrity, and security across all data platforms.

    Requirements

    • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
    • Proven experience in data engineering, data warehousing, or data analytics roles.
    • Proficiency in programming languages such as Python, Java, or Scala.
    • Strong knowledge of SQL and experience with relational and NoSQL databases.
    • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
    • Excellent problem-solving skills and attention to detail.

    Benefits

    • Opportunities for professional growth and career advancement within a leading technology company.
    • Work on diverse and challenging projects across various industry sectors.
    • Collaborative and innovative work environment.
    • Access to continuous learning and development resources.
    • Competitive salary and comprehensive benefits package.
    • Be part of a company with a strong global growth trajectory.

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