Vmware | Jobs | Data Engineer | BigDataKB.com | 03-02-22

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Job Location: Bangalore/Bengaluru

As a Data Engineer, you will build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient. You rely on sound judgement, critical thinking, and creativity to deliver customer focused data solutions that create meaningful business impact. You are experienced with various patterns of data ingestion, processing, and curation. You understand criticality of data quality, security & governance practices and are adept at it. You design solutions with strategic and long-term focus on code quality, reliability, reusability, maintainability and dataops. You are experienced in building efficient and scalable data services.

The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis?

  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
  • Contribute towards platform engineering, tooling & standards to improve the productivity and quality of data solutions.
  • Perform data analysis/wrangling using Python, complex SQLs, and other tools.
  • Develop data services/API s using Java-Springboot, Python-Flask, as needed
  • Building data visualizations & reports using Tableau, SAP BOBJ and other open-source technologies.
  • Perform root cause analysis of issues that hinder the data quality. Work with data source owner to increase quality and accuracy of the source data.
  • Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processes utilizing various technologies such as Spark, Kafka, Presto, SAP HANA, Airflow, Informatica.
  • Understand and influence best practices for observability & dataops.
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
  • Collaborate with engineers to drive best practices in code quality & reusability, data integrity, test design, analysis, validation, and documentation

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