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Demandbase | Jobs | Senior Data Engineer (Data Engineering), Pan India | BigDataKB.com | 08-02-22

Job Location: remote

What youll be doing:

  • Design, Model and Implement data analysis and analytics solutions.
  • Be a hands on individual contributor for data projects in high-level design, analysis, experiments, data architecture and data modeling.
  • Support ETL pipeline modules by designing state of art transformations, data cleaning, matching , reports/dashboards and statistical analysis
  • Hands on with analysis techniques segmentation, regressions, clustering, data profiling to analyze trends and report key performance indicators.
  • Team player to build large scale, high availability, fault tolerant data analytics platform – Apache Spark ecosystem, Data Visualization and Advanced Analytics.
  • Work closely with cross functional teams in an Agile environment

What were looking for:

  • You are a strong analytical and problem solving skills
  • You are self-motivated learner
  • You are eager to learn new technologies
  • You are receptive to constructive feedback
  • You are Confident and articulate with excellent written and verbal communication skills
  • You are open to work in small development environment

Skills Education:

  • Bachelor s or master s degree in computer science, Mathematics, Statistics from a top engineering institution.
  • Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis.
  • 4+ years of Data Engineering experience in building enterprise data/analytics solutions.
  • Data stewardship to continually improve the quality of data and information including accuracy, integrity , relevance to the business.
  • Strong practical experience in Databases, Advanced SQL Python/R.
  • Very good understanding of Data strategies, articulate data analysis data model design and evolve data products according to business requirements.
  • Benchmark data systems, Analyze workflow bottlenecks and propose robust data solutions to eliminate them.
  • Good to have experience in designing/implementing ETL data pipelines using open source platforms.
  • Good to have exposure to big data emerging technologies like Hive, Red Shift (DWH), Hbase, Apache Spark and integration with enterprise visualization frameworks.

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