Senior Data Engineer

1 month ago

Bengaluru, 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:


About 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:


Job 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.Tech

Experience: 3 to 6 Yrs as Data Engineer

Knowledge & Skills :

  • Experience working on any of the public cloud AWS/Azure/GCP
  • Experience 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 configurations
  • Knowledge 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 processing
  • Sound 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 skills
  • Excellent command of both written and spoken English.
  • Should be able to Design, Develop, Deliver & maintain Data Infrastructures.

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