Senior Data Engineer

2 weeks ago

bangalore, India Medha Analytics Full time
About Narayana Health:Narayana Health is headquartered in Bengaluru, India, and operates a network of hospitals in India and Overseas. Our mission is to deliver high-quality, affordable healthcare services to the broader population.For more details, please refer to our website at: Medha Analytics:Medha Analytics works to simplify healthcare by unleashing the potential of data. With a powerful tech stack, interesting ideas, and inspired co-workers, no dream is too big at Medha Analytics.For more details, please refer to our website at: Description:Understanding business processes, understanding the software systems for the retrieval, prepping, and modeling data to build/maintain a modern data platform for supporting reports and Dashboards.Create and maintain optimal data pipeline architecture.Assemble large, complex data sets that meet functional/non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure technologies.Work with stakeholders including the Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.Work with data and analytics experts to strive for greater functionality in our data systems.
Candidate Requirement:Education:
B.E. or B.TechExperience: 3
to 6 Yrs as Data EngineerKnowledge & Skills :Experience working on any of the public cloud AWS/Azure/GCPExperience working on Python/Scala/Java, Big Data technologies like spark and Hadoop File System (HDFS)Strong hands-on experience in writing code in Pyspark/Python/Scala/Shell language using best practices.Experience on Performance tuning of Spark Jobs and cluster configurationsKnowledge of AWS services viz., EC2, EMR, S3, Lambda, EBS, IAM, Redshift, RDS, GLUE ETL is desired.Knowledge of Azure services viz., ADF, Databricks, Azure Synapse Analytics, ADLS Gen2,Azure Devops is desired.Proficient in writing highly optimized SQL’s and algorithm for data processingSound understanding of the cloud relational and non-relation database, their storage concepts, best practices and use case.Knowledge in RESTful Webservice, Microsoft SQL Server, MySQL Server, and Agile methodology is an advantage.DevOps toolchain experience is plus (Docker/Kubernetes/Ansible/Git)Strong analytical, problem-solving, and communication skillsExcellent command of both written and spoken English.Should be able to Design, Develop, Deliver & maintain Data Infrastructures.

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