Rackspace Technology

DataOps Data Engineer – II

Rackspace Technology

full-time

Posted on:

Location Type: Hybrid

Location: Gurgaon • India

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Tech Stack

AzureETLPySparkSparkSQLVault

About the role

  • Support **production data platforms**, ensuring high availability, reliability, and performance.
  • Monitor data pipelines and jobs, proactively identifying and resolving failures, performance issues, and data discrepancies.
  • Perform **root cause analysis (RCA)** for incidents and implement preventive measures.
  • Implement **DataOps best practices** including automation, monitoring, alerting, and operational dashboards.
  • Collaborate with cross-functional teams to support reporting, analytics, and downstream consumption.
  • Maintain documentation for pipelines, operational runbooks, and support procedures.
  • Participate in **on-call and rotational shift support**, including weekends or night shifts as required.

Requirements

  • 3–5 years of experience in **Data Engineering / DataOps** roles.
  • Strong hands-on experience with:
  • - **Azure Databricks (PySpark, Spark SQL, Delta Lake)**
  • - **Azure Data Factory (ADF)** – pipelines, triggers, parameters, monitoring
  • - **Azure Data Lake Storage (ADLS Gen2)**
  • Good understanding of **ETL/ELT frameworks**, batch and incremental processing.
  • Strong **SQL skills** for data analysis and troubleshooting.
  • Experience with **production support**, incident management, and SLA-driven environments.
  • Familiarity with **monitoring tools** (Azure Monitor, Log Analytics, alerts).
  • Understanding of **Azure security concepts** (RBAC, Managed Identity, Key Vault).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data EngineeringDataOpsAzure DatabricksPySparkSpark SQLDelta LakeAzure Data FactoryETLSQLAzure Data Lake Storage
Soft Skills
collaborationproblem-solvingdocumentationroot cause analysisproactive monitoring