Job
Description
Data Engineer (AWS) | 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 (AWS) 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. - 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 Amazon AppFlow, EKS, API Gateway, NoSQL database services. - Strong understanding and experience with BI/visualization tools like Power BI. Location: Chennai / Bangalore Apply Role: Data Engineer (AWS) 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. - 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 Amazon AppFlow, EKS, API Gateway, NoSQL database services. - Strong understanding and experience with BI/visualization tools like Power BI. Location: Chennai / Bangalore
