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Senior Databricks & AWS Lakehouse Engineer
Service Based Co
Senior Databricks & AWS Lakehouse Engineer
Service Based Co's logo

Senior Databricks & AWS Lakehouse Engineer

at Service Based Co

Agency job
7 - 12 yrs
₹15L - ₹25L / yr
Remote only
Skills
skill iconAmazon Web Services (AWS)
databricks
lakehouse
skill iconPython
Spark SQL

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. 


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Full Stack Developer - Averlon
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