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Gurgaon

    Data Operations Engineer - Gurugram, India - Welocalize

    Welocalize
    Welocalize Gurugram, India

    2 days ago

    Default job background
    Full time
    Description

    MAIN PURPOSE OF JOB

    • The Data Operations Engineer is a crucial role in developing and maintaining our data ecosystem, especially focusing on BI, Analytics, and business operations. This professional excels in creating data flows from different systems to our data warehouse, emphasizing the importance of actionable data analytics applications. They handle various data engineering tasks, connecting third-party and in-house systems to support key initiatives, streamline business operations, and ensure data quality and accessibility.

    MAIN DUTIES

    • Understand business requirements and goals to build and maintain ETL processes for effective data funneling into our data warehouse.
    • Create and manage scalable data pipelines to meet operational and analytical needs while aligning with the overall data strategy.
    • Offer support for data transformation and migration to meet evolving business needs.
    • Engage in diverse data engineering activities, from building datasets to complex analysis, and preparing data for modeling, ensuring adaptability across interconnected systems.
    • Collaborate with technical teams, including data scientists and architects, to drive data-driven initiatives.
    • Suggest and implement improvements for data reliability, efficiency, and quality, adhering to best practices in data management.

    REQUIREMENTS

    • Education Level- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience.
    • Experience- Multiple years of experience in ETL development, data pipelines, and workflow management. Proficiency in data transformation technologies and agile methodologies.
    • Strong knowledge of relational and non-relational databases, complex queries, and database technologies. Skills in data analytics applications like PowerBI.
    • Other relevant skill- Strong analytical skills, experience with diverse data tasks, and familiarity with data integration from various systems.

    KEY COMPETENCIES REQUIRED FOR THIS ROLE

    • Customer Service- Proficient in issue resolution and escalation management, focusing on high service quality.
    • Innovation- Demonstrates curiosity and creativity in improving data systems and processes.
    • Quality- Self-driven, meticulous in data verification, and committed to delivering high-quality work.
    • Owns deliverables, ensures accuracy, and seeks continuous improvement.
    • Global Teamwork- Able to manage tasks independently, collaborate across teams, and work effectively in a global setting.
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