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Data Engineer (Azure) Jobs | 7+ years | Coimbatore, Tamil Nadu(Full-time) Job Description Purpose: IT applications (Implementation and support): The employee should be able to develop ETL pipelines, data visualizations and analysis. Minimum Qualifications and Knowledge: Bachelor s degree in computer science or information technologies. Minimum Experience: 8+ years in Data Engineering (design, model and building ETL pipelines, data/lake house design and development) 4+ years in Python and Spark (strong knowledge in PySpark, Pandas, Numpy) 4+ year in Azure Data Factory and Databricks (strong Performance Optimization skills) 8+ years in SQL Job-Specific Skills: Self-motivated and committed to quality. Interpersonal and analytical skills. Problem solving skills. Excellent organization skills. Required for 6-months, with the possibility of renewal based on project requirements Finance industry working experience is preferred (Insurance background is 01st preference). Candidates currently working in any region is fine ( Abu Dhabi/India) Application Development: Data modelling, development and deployment of end-to-end data analytics solutions in cloud environment - Azure. Data processing including big data processing, integration, data modelling in line with the concepts of lake house medallion architecture. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Collaborate with vendor to create pipelines for Open Insurance project for four Line of Business Motor, Home, Medical & Travel Create robust data models, data catalogue & data mesh architecture for selfservice analytics, facilitating user-friendly data exploration and reporting. Data Governance - Ensure data quality, security, discoverability Application Support: Maintain and execute performance tuning and data quality fixes. Required Knowledge, Skills, and Abilities https://www.tebs.com Whom we are looking for p Purpose: br IT applications (Implementation and support): The employee should be able to develop ETL pipelines, data visualizations and analysis. br /p p Minimum Qualifications and Knowledge: br Bachelor s degree in computer science or information technologies. br Minimum Experience: br 8+ years in Data Engineering (design, model and building ETL pipelines, data/lake house design and development) br 4+ years in Python and Spark (strong knowledge in PySpark, Pandas, Numpy) br 4+ year in Azure Data Factory and Databricks (strong Performance Optimization skills) br 8+ years in SQL br Job-Specific Skills: br Self-motivated and committed to quality. Interpersonal and analytical skills. br Problem solving skills. br Excellent organization skills. br Required for 6-months, with the possibility of renewal based on project requirements br Finance industry working experience is preferred (Insurance background is 01st preference). br Candidates currently working in any region is fine ( Abu Dhabi/India) br /P p Application Development: br Data modelling, development and deployment of end-to-end data analytics solutions in cloud environment - Azure. br Data processing including big data processing, integration, data modelling in line with the concepts of lake house medallion architecture. br Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. br Collaborate with vendor to create pipelines for Open Insurance project for four Line of Business Motor, Home, Medical & Travel br Create robust data models, data catalogue & data mesh architecture for selfservice analytics, facilitating user-friendly data exploration and reporting. br Data Governance - Ensure data quality, security, discoverability br /p p Application Support: br Maintain and execute performance tuning and data quality fixes. br /p
