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Salary
$28k – $54k per year (Estimated)
Location
Remote (India)
Seniority
Senior
Overview
Company
Impact
Profile match
Everest engineering specializes in a number of services including software engineering, DevOps, automation, AI, cloud, etc. It provides high quality, scalable distributed development teams.

Senior to Lead Data Engineer to lead the design and implementation of scalable data pipelines, mentor engineers, and work closely with business stakeholders to deliver high-quality data solutions and insights.

Requirements:

  • Experience in Databricks (mandatory) and Azure Cloud (Azure Data Factory, Azure Data Lake, Synapse, or equivalent).
  • Knowledge of Apache Spark, Python, and SQL, ETL/ELT pipeline development.
  • Knowledge of data modelling and data warehousing, Power BI (data modelling, semantic models, and performance optimization).
  • Experience with CI/CD and DevOps for data platforms.
  • Strong stakeholder management and technical leadership skills.
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Pandas
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