Senior Data Engineer

3 weeks ago

Anywhere in IndiaMultiple Locations Spruce IT Pvt. Ltd. Full time

Pan India.

Experience : 5-8 years.

JD :

Azure Databricks :

Role : Data Engineer (Sr).

- 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 :

- Working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera.

- 3-4 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.

(ref:hirist.tech)

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