Data Engineer - AWS - Databricks, AWS EMR, Redshift, and various database management systems - 5+ Relevant Years - Immediate Joiners

5 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Minimum Requirements

  • 5+ years of experience in Data Engineering, including more than 5 years of hands-on expertise with Databricks, AWS EMR, Redshift, and various database management systems.
  • Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Databricks, Redshift etc.)
  • Proficient in programming languages like Python and PySpark.
  • Experience in data normalization, data modelling, Decoupled ETL, SQL modelling.
  • Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably Databricks & AWS Analytics.
  • Exposure to Unix or other shell scripting, job scheduling using Control-M or equivalent tools
  • Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information
  • Commitment to building using established coding and naming standards
  • Experience in guiding ad-hoc technical solutions to the team

Preferred

  • Languages: Python, PySpark, SparkSQL, SQL, JAVA
  • Exposure to SAP ERP system, Salesforce.com, etc. is preferred
  • Visualization tool experience, especially with Tableau or Power BI
  • Working in larger organizations with established individual responsibilities & teams.

We Value

  • Databricks & AWS Cloud Certifications
  • Experience in business domains – supply chain, pricing, sales & marketing
  • Experience in working with data scientists
  • Strong problem solver who can invent new techniques and approaches if necessary
  • Ability to work in a fast-paced environment

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