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Description
Data Engineer (Azure) | 4+ years of experience | Chennai and Bangalore As a Data Engineer, you will be part of a dynamic team responsible for technical design, implementation, optimization and maintenance of data engineering solution components for our customers. You should have strong hands-on experience in implementing complex data engineering solutions on AWS, along with a solid understanding of data warehouse, data lake and lakehouse architecture patterns. As a Data Engineer, you will be part of a dynamic team responsible for technical design, implementation, optimization and maintenance of data engineering solution components for our customers. You should have strong hands-on experience in implementing complex data engineering solutions on AWS, along with a solid understanding of data warehouse, data lake and lakehouse architecture patterns. Role: Data Engineer (Azure) Experience: 4+ years Skills Required: - 4 - 10 years of hands-on experience in designing, developing and implementing data engineering solutions. - Strong SQL development skills, including performance tuning and query optimization. - Good understanding of data concepts. - Proficiency in Python and a solid understanding of programming concepts. - Hands-on experience with PySpark or Spark Scala for building data pipelines. - Ensure data consistency and address ambiguities or inconsistencies across datasets. - Understanding of streaming data pipelines for near real-time analytics. - Experience with Azure services including Data Factory, Functions, Databricks, Synapse Analytics, Event Hub, Stream Analytics and Data Lake Storage. - Familiarity with at least one NoSQL database. - Knowledge of modern data architecture patterns and industry trends in data engineering. - Understanding of data governance concepts for data platforms and analytical solutions. - Experience with Git for managing version control for source code. - Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solutions. - Strong analytical and problem-solving skills. - Excellent communication and teamwork skills Good to Have: - Azure Certifications related to Data Engineering are highly preferred. - Experience with Azure Kubernetes Service (AKS), Container Apps and API Management. - Strong understanding and experience with BI/visualization tools like Power BI. Location: Chennai / Bangalore Apply Role: Data Engineer (Azure) Experience: 4+ years - 4 - 10 years of hands-on experience in designing, developing and implementing data engineering solutions. - Strong SQL development skills, including performance tuning and query optimization. - Good understanding of data concepts. - Proficiency in Python and a solid understanding of programming concepts. - Hands-on experience with PySpark or Spark Scala for building data pipelines. - Ensure data consistency and address ambiguities or inconsistencies across datasets. - Understanding of streaming data pipelines for near real-time analytics. - Experience with Azure services including Data Factory, Functions, Databricks, Synapse Analytics, Event Hub, Stream Analytics and Data Lake Storage. - Familiarity with at least one NoSQL database. - Knowledge of modern data architecture patterns and industry trends in data engineering. - Understanding of data governance concepts for data platforms and analytical solutions. - Experience with Git for managing version control for source code. - Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solutions. - Strong analytical and problem-solving skills. - Excellent communication and teamwork skills - Azure Certifications related to Data Engineering are highly preferred. - Experience with Azure Kubernetes Service (AKS), Container Apps and API Management. - Strong understanding and experience with BI/visualization tools like Power BI. Location: Chennai / Bangalore Role: MLOPS Engineer Experience: 5+ years - Working experience with Scala, Spark, Azure and SQL - Experience working with Synapse, Azure Data Factory (ADF) - Experience in handling customer interactions Location: UK We are an Information Technology company with focus on Cloud, Data Engineering, Artificial Intelligence, and Strategy Consulting. The Data Engineering team is one of the core technology teams of Neoware and is responsible for creating modern data platforms for Enterprise customers. They interact with our customers to create technical architectures and solutions they need. If you are looking to solve complex data problems, how technologies can interact, and how various tools, technologies concepts can help a customer drive business value, then this role is for you. Role: MLOPS Engineer Experience: 5+ years Skills Required: - Working experience with Scala, Spark, Azure and SQL - Experience working with Synapse, Azure Data Factory (ADF) - Experience in handling customer interactions Location: UK Apply
