Remote // Sr. Data Engineer with Azure Databricks

Greetings,

 

We have below requirement with our Client. Kindly go through the below JD and if interested please revert back with your updated resume.



Position: Data Engineer with Azure Databricks 

Location: Louisville, Kentucky-USA, Remote 

Client: Wipro 

  

Rate: $55/hr on c2c


No OPT / CPT


Role:  

  • The Senior Data Engineer will be responsible for the build of Enterprise Data platform. 

  • Setting up the data pipelines that are scalable, robust and resilient and build pipelines to validate, ingest, normalize/enrich and business-specific processing of healthcare data.  

  • Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company and serve the data to various products and services. 

  • The scope of this role will include working with engineering, product management, program management and operations teams in delivering pipeline platform, foundational and application-specific pipelines and building the Data Lake in collaboration with business and other teams.  

  

Responsibilities 

  • Design, Develop, Operate and drive scalable and resilient data platform to address the business requirements 

  • Drive technology and business transformation through the creation of the Azure Data Lake 

  • Ensure industry best practices around data pipelines, metadata management, data quality, data governance and data privacy 

  • Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio 

  

Required Skills 

  • 10+ years working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera 

  • 3 + / 2+ years working experience in Databricks (essential) and Python 

  • Experience with Cloud / Azure architectural components  

  • Experience building data pipelines and infrastructure 

  • Deep understanding of Data warehousing concepts, reporting and Analytical concepts 

  • Experience with Big Data tech stack, including Hadoop, Java, Spark, Scala, and Hive, NoSQL data stores 

  • Bachelor's degree in Mathematics, Physical Sciences, Engineering or Computer Science 

  

Nice to Have skills 

  • Experience in leading design and development of large systems 

  • Demonstrates strong drive to learn and advocate for development best practices 

  • Proven track record of building and delivering enterprise-class products  

  • Full Stack Experience (End to End Development) 

  • Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels 

 



Thanks & Regards,

 

Srujan Burra

Desk: 973 446 0501

 

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