Data Engineer-senior Ii

What can you expect as a FedEx team member Career Mobility and Development When you join FedEx you re joining a team with possibilities that literally span the world from opportunities for advancement and location transfer to training and leadership programs Total Compensation and Benefits Package We want to keep our employees for a long time so we offer competitive benefits opportunities for flexible work arrangements and programs to support well-being Equal Opportunities Our greatest asset at FedEx is our people We are committed to building a diverse equitable and inclusive workforce and offer equal opportunities fairness and respect to all regardless of who you are We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity We do not tolerate discrimination or harassment based on race color ethnicity national origin religion sex age genetic information citizenship disability marital status pregnancy sexual orientation gender identity gender expression veteran status or any other characteristic protected under national state or local laws We will reasonably accommodate team members and third parties with physical and mental disabilities Please note that the Job will close at 12am on Posting Close date so please submit your application prior to the Close Date Company INT FedEx Express Transportation and Supply Chain Services India Pvt Ltd City Bengaluru Scheduled Weekly Hours 48 Worker Type Regular Posting Start Date 31-Jul-2025 Posting Close Date 1-Aug-2025 Job Family FXE-MEISA Data Engineer Position Summary Grade - T5 Please note that the Job will close at 12am on Posting Close date so please submit your application prior to the Close Date What your main responsibilities are Accountabilities Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization Data pre-processing including collecting parsing managing analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis Drive standards define and implement improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation Qualifications Specifications Masters Bachelor s degree in Engineering Computer Science Math Statistics or equivalent Strong programming skills in Python Pyspark SAS Proven experience with large data sets and related technologies - Hadoop Hive Distributed computing systems Spark optimization Experience on cloud platforms preferably Azure and it s services Azure Data Factory ADF ADLS Storage Azure DevOps Hands-on experience on Databricks Delta Lake Workflows Should have knowledge of DevOps process and tools like Docker CI CD Kubernetes Terraform Octopus Hands-on experience with SQL and data modeling to support the organization s data storage and analysis needs Experience on any BI tool like Power BI Good to have Cloud migration experience Good to have Cloud and Data Engineering certification Good to have Working in an Agile environment 4-7 years of relevant work experience needed Experience with stakeholder management will be an added advantage What we are looking for Education Bachelor s degree or equivalent in Computer Science MIS Mathematics Statistics or similar discipline Master s degree or PhD preferred Knowledge Skills and Abilities Fluency in English Analytical Skills Accuracy Attention to Detail Numerical Skills Planning Organizing Skills Presentation Skills Data Modeling and Database Design ETL Extract Transform Load Skills Programming Skills