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Please find below the details of the role and its responsibilities.&nbsp;</p><p><strong>Skills Required:&nbsp;</strong></p><ul><li>Data Engineer, Data Engineering, Python, SQL, Kafka, Data Orchestration, Apache Airflow, Confluent, API, Rest API, API Management, GCP, Tableau&nbsp;</li></ul><p><strong>Experience Range:&nbsp;</strong></p><ul><li>4 - 7 years&nbsp;</li></ul><p><strong>Who we are looking for:&nbsp;</strong></p><p><strong>Primary Responsibilities:&nbsp;</strong></p><ul><li>Builds and maintains relevant and reliable data products that support People/Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.&nbsp;</li><li>Participates in new software development and data engineering initiatives supporting People/Finance Analytics, ensuring timely and accurate delivery of financial data products.&nbsp;</li><li>Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across people/financial datasets.</li><li>Implement security and privacy controls in data workflows, ensuring compliance with People/Finance regulatory requirements.&nbsp;</li><li>Monitor, troubleshoot, and improve performance and reliability of existing People/Finance data pipeline infrastructure.&nbsp;</li><li>Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving People/Financial analytics needs.&nbsp;</li><li>Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.&nbsp;</li><li>Partner and collaborate with data engineers, particularly in People/Finance-centric data models and processing frameworks.&nbsp;</li><li>Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.&nbsp;</li></ul><p><strong>Skill</strong>:&nbsp;</p><ul><li>Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of People/Finance analytics initiatives&nbsp;</li><li>Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing&nbsp;</li><li>3+ years of professional experience in data engineering or related fields&nbsp;</li><li>Proficiency in Python, Java, or Scala for data processing and automation&nbsp;</li><li>Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)&nbsp;</li><li>Good working knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.&nbsp;</li><li>Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools&nbsp;</li><li>Hands-on experience with visualization software like Tableau/Strategy&nbsp;</li><li>Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards&nbsp;</li><li>Demonstrated experience in data management &amp; data governance capabilities&nbsp;</li><li>Familiarity with data warehousing principles and best practices.&nbsp;</li><li>Excellent problem solver - use of data and technology to solve problems or answer complex data related questions&nbsp;</li><li>Excellent collaboration skills to work effectively in cross-functional teams&nbsp;</li></ul><p><strong>Work location:&nbsp;</strong>Hyderabad, India</p><p><strong>Work pattern:&nbsp;</strong>Full time role.</p><p><strong>Work mode:</strong> Hybrid.</p>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/mcdonaldsindia/data-engineer-ii-hyderabad-T500-24346","created_at":"2026-03-13T11:50:52.527418+05:30","updated_at":"2026-05-02T04:39:27.419465+05:30","title_alias_1":"Data Engineer II","slug":"data-engineer-ii-hyderabad-T500-24346","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":4,"max_experience_years":7,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-24346","external_id":35806,"external_job_code":"MCDHG004","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-03-12T18:10:29.789892+05:30","published_at":"2026-03-13T11:50:51.589631+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-24346.png","role_summary":"<p><strong>About McDonald’s:</strong></p><p>One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. 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