Data Engineer

Job summary: We are seeking an experienced Data Engineer with 10 to 14 years of experience to join our team. The ideal candidate will have a strong background in Azure SQL Teradata PySpark Azure Databricks and Azure Data Factory. This hybrid role requires a deep understanding of Travel and Hospitality domain data analysis and the ability to leverage advanced analytics tools to drive business insights. The position operates during day shifts and does not require travel. 3.Experience : 10to14Yrs 4.Required Skills : TeradataAzure Data FactoryAzure SQLAzure DatabricksPySpark 5.Nice to have skills : 6.Technology : Not Applicable 7.Shift : Day 8.Responsibilities : Analyze data to identify patterns and trends that can inform business decisions. Utilize Azure SQL to manage and query large datasets efficiently. Implement data processing workflows using Azure Data Factory to ensure seamless data integration. Develop and maintain scalable data pipelines using PySpark for realtime data processing. Leverage Azure Databricks to perform advanced analytics and machine learning on geospatial data. Collaborate with crossfunctional teams to understand data requirements and deliver actionable insights. Provide technical expertise in Teradata to optimize data storage and retrieval processes. Ensure data quality and integrity by implementing robust validation and cleansing procedures. Create detailed documentation of data workflows methodologies and analytical processes. Conduct regular performance tuning and optimization of data processing systems. Stay updated with the latest advancements in geospatial analytics and cloud technologies. Mentor junior analysts and provide guidance on best practices in data analysis. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Qualifications Possess a strong proficiency in Azure SQL with the ability to write complex queries and optimize database performance. Demonstrate extensive experience with Teradata including data modeling and ETL processes. Exhibit advanced skills in PySpark for largescale data processing and analytics. Show expertise in Azure Databricks for implementing machine learning models and data transformations. Have handson experience with Azure Data Factory for building and managing data pipelines. Display a solid understanding of geospatial data analysis techniques and tools. Hold a bachelors degree in Computer Science Data Science or a related field. Preferably have a masters degree or relevant certifications in data analytics or geospatial analysis. Demonstrate excellent problemsolving skills and attention to detail. Possess strong communication skills to effectively convey technical concepts to nontechnical stakeholders. Show a proactive approach to learning and adapting to new technologies and methodologies. Exhibit the ability to work independently and as part of a collaborative team. Have a proven track record of delivering highquality analytical solutions