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Senior Data Engineer – Databricks & AWS Lakehouse (Gurugram)

10 years

20 - 25 Lacs

Gurugram Haryana India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

data databricks aws engineering apache iam python spark architecture unity monitoring datadog security compliance governance automation terraform debugging documentation sql git

Work Mode

On-site

Job Type

Full Time

Job Description

  • 7–10 years of data engineering experience, with 5+ years on Databricks and Apache Spark.
  • Expert-level hands-on experience with Databricks and AWS (S3, Glue, EMR, Kinesis, Lambda, IAM, CloudWatch).
  • Primary language: Python; strong skills in Spark SQL.
  • Deep understanding of Lakehouse architecture, Delta Lake, Parquet, Iceberg.
  • Strong experience with Databricks Workflows, Unity Catalog, Runtime upgrades, and cost optimization.
  • Experience with Databricks native monitoring tools and Datadog integration.
  • Security and compliance expertise across data governance and infrastructure layers.
  • Experience with CI/CD automation using Terraform, CloudFormation, and Git.
  • Hands-on experience with disaster recovery and multi-region architecture.
  • Strong problem-solving, debugging, and documentation skills.
Skills: s3,pipeline engineering,lakehouse architecture,aws,lambda,iam,parquet,delta lake,datadog,spark sql,ci/cd automation,runtime upgrades,terraform,kinesis,glue,platform governance,python,cloudwatch,databricks,observability,git,iceberg,apache spark,databricks workflows,cloudformation,unity catalog,disaster recovery,emr

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Indiglobe IT Solutions
Indiglobe IT Solutions

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