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Databricks with PySpark Big Data Engineer Job at IT EBusiness Consulting Services, Inc, Remote

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  • IT EBusiness Consulting Services, Inc
  • Remote

Job Description

Job Title: Databricks with PySpark Big Data Engineer

Work Location: 100% Remote USA

Must-have Skills:

  • Big Data Proficiency : Experience with big data technologies -Databricks with PySpark
  • Data Modelling : Strong understanding of data modelling principles and experience in designing efficient data models BI Tools. Understanding & Experience of ETL tools
  • SQL and Data Manipulation : Proficiency in SQL and data manipulation skills to prepare data for visualization.
  • Scripting Languages : Intermediate or higher level of understanding of scripting language Python for creating efficient and customizations of applications and writing automation script is expected.

Good to have Skills:

  • Other scripting Languages : Familiarity with scripting languages such as JavaScript other than python for customizations and automation.
  • Google Pub sub/Kafka/Mongo DB
  • ETL : Familiarity with ETL processes and tools for data extraction, transformation, and loading.
  • Cloud Platforms : Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud for ThoughtSpot deployments.
  • Data Warehousing : Understanding of data warehousing concepts and technologies.
  • Data Governance : Familiarity with data governance and data quality best practices.
  • Certifications : certifications or relevant industry certifications Databricks, GCP cloud
  • Data Security : Knowledge on PII and masking is desirable.
  • Agile : Working knowledge on Agile/SAFe
  • Domain Expertise : Knowledge on Retail Domain KPIs

Qualification:

  • Bachelor's degree in computer science, engineering, or related field
  • Demonstrated continued learning through one or more technical certifications or related methods
  • 4+ years of Experience in Big Data Technologies must be able to articulate use cases supported and outcomes driven Relevant experience in Retail domain

Job Tags

Full time, Part time, Internship, Seasonal work, Remote job,

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