Data Engineer- Databricks

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position:


Purpose of the Position:

Develop, support and steer end-to-end business intelligence using Databricks.


Location:


Key Responsibilities:


  • Work with business analysts and data architects to translate requirements into technical implementations.
  • Design, develop, implement, and maintain pyspark code through Databricks UI that enables data and analytics use cases for the client.
  • Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.
  • Dive deep into performance, scalability, capacity, and reliability problems to resolve issues.
  • Take on research projects and POC to improve data processing.


Work and Technical Experience:


Must-Have Skills:

  • 3+ hands on Experience with Databricks and PySpark.
  • Proficiency in SQL and data manipulation skills.
  • Good understanding of data warehousing concepts and technologies.


Good-to-Have Skills:

  • Understanding of Google Pub sub/Kafka/Mongo DB.
  • Familiarity with ETL processes and tools for data extraction, transformation, and loading.
  • Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud.
  • Familiarity with data governance and data quality best practices.


Qualifications:

  • Bachelor's degree in computer science, engineering, or related field.
  • Demonstrated continued learning through one or more technical certifications or related methods.
  • 3+ years of relevant experience in Data Analytics.
  • Relevant experience in Retail domain.


Qualities:

  • Self-motivated and focused on delivering outcomes for a fast-growing team and firm.
  • Able to communicate persuasively through speaking, writing, and client presentations.


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