Senior DataOps Engineer
Shree Narayani Networking Solutions Pvt Ltd
Charlotte, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 185KJob location
Remote
Charlotte, United States of America
Tech stack
Amazon Web Services (AWS)
Continuous Delivery
Information Engineering
Data Governance
DevOps
Distributed Computing Environment
Hive
Identity and Access Management
Python
Cloud Services
DataOps
SQL Databases
Data Lake
PySpark
Amazon Web Services (AWS)
Terraform
Databricks
Job description
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Requirements
- 8+ years of experience in Data Engineering, Platform Engineering, or DataOps roles.
- 5+ years of hands-on experience with Databricks in enterprise-scale environments.
- Strong expertise in PySpark, Spark SQL, Python, SQL, and distributed data processing.
- Deep hands-on experience with Delta Lake, Databricks Workflows, Unity Catalog, cluster optimization, and platform administration.
- Strong experience implementing medallion/lakehouse architectures in Databricks.
- Proven expertise with Terraform and Infrastructure as Code (IaC) automation.
- Experience implementing CI/CD pipelines and DevOps/DataOps operational practices.
- Strong knowledge of AWS cloud services including AWS Glue, Kinesis, Firehose, S3, and IAM.
- Strong understanding of data governance, security, observability, and operational monitoring frameworks.
- Excellent communication, leadership, troubleshooting, and collaboration skills.
Benefits & conditions
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