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Data Integration Engineer

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Job Description

Mandatory Skills

Databricks & Python

Job Description

Core Technical Skills

  • Python - Advanced level (pandas, requests, boto3 libraries)
  • API Integration - REST APIs, authentication (OAuth, API keys), error handling
  • Cloud Platforms - AWS (S3, EC2, IAM) proficiency
  • Databricks/Spark - PySpark, Delta Lake, SQL optimization
  • Data Pipeline Tools - Airflow, Databricks Workflows, or equivalent orchestration
  • SQL - Complex queries, window functions, performance tuning

Security & Enterprise Knowledge

  • Understanding of security telemetry (logs, alerts, events, metrics)
  • Familiarity with at least 2-3 security platforms (JAMF, Intune, Qualys, CrowdStrike,

Okta)

  • Experience with AWS CloudTrail or similar cloud audit logs
  • Knowledge of data security and compliance (encryption, access controls)

Additional Competencies

  • Version control (Git)
  • CI/CD pipeline familiarity
  • Data quality and validation frameworks
  • Performance tuning and optimization mindset

Education Qualificaiton

BE, BTech, MCA

Roles & Responsibilities

Data Integration & Connectivity

  • Design and build connectors between enterprise security platforms (JAMF, Intune, Qualys,

CrowdStrike, Okta, AWS CloudTrail) and Databricks

  • Establish secure API connections and authentication mechanisms with each source system
  • Implement data extraction logic using REST APIs, SDKs, and native connectors
  • Handle varying data formats and transformation requirements across heterogeneous sources

Data Pipeline Development

  • Develop automated Python scripts for continuous data ingestion
  • Build orchestration workflows using Apache Airflow, Databricks Workflows, or similar tools
  • Implement error handling, retry mechanisms, and monitoring for pipeline reliability
  • Ensure near real-time or scheduled data synchronization based on requirements

AWS S3 & Data Staging

  • Configure S3 bucket architecture and data partitioning strategy
  • Land raw security telemetry data in S3 with proper folder structures
  • Implement lifecycle policies and data retention strategies
  • Ensure proper encryption and access controls

Databricks Platform Configuration

  • Create and optimize Databricks tables

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About Company

Job ID: 151246559