Data Engineer III

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Forcepoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

💰 $18M Post-IPO Equity on 2006-09

Cybersecurity • Enterprise • SaaS

Forcepoint is a cybersecurity company offering a data-first approach to securing digital environments. Specializing in data security across cloud, web, email, and enterprise networks, Forcepoint provides solutions such as Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), Secure Web Gateway, and Next Generation Firewall (NGFW). The company enables secure and efficient access to data in the cloud and on-premises, deploying AI-powered automation to enhance risk management and streamline compliance. As a recognized leader in security service edge solutions, Forcepoint is trusted by organizations to protect sensitive data and prevent breaches across varied digital platforms.

📋 Description

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Fivetran, API Ingestion, and AWS S3 • Develop and optimize SQL queries and Python scripts for ETL/ELT workflows • Manage Databricks data workflows for performance, reliability, and data quality • Collaborate on data modeling, schema design, and governance practices • Build and maintain Databricks dashboards and reports • Translate reporting needs into scalable data solutions with analysts and business teams • Communicate timelines and deliverables to stakeholders across business units • Prioritize work across concurrent projects and changing business needs • Document data processes, pipeline logic, and architectural decisions • Participate in sprint planning and Agile development cycles • Identify opportunities to use AI, machine learning, and cloud-native tooling • Contribute to code reviews and GitHub version-controlled development

🎯 Requirements

• 3+ years of experience in a data engineering, analytics engineering, or similar role • Strong proficiency in SQL, including complex queries, performance optimization, and debugging • Hands-on Python experience for data transformation, automation, and pipeline development • Experience with Databricks or equivalent distributed data processing platforms • Familiarity with version control and collaborative development using GitHub • Ability to communicate technical concepts clearly to non-technical stakeholders • Right to work in the location to which you have applied • Preferred: Experience with Databricks, Salesforce/CRM data integration, API-based data ingestion, AI/ML tooling, cloud AI services, LLM-powered data pipelines and agents, and Agile methodologies

🏖️ Benefits

• Equal employment opportunity protections • Reasonable accommodations for qualified individuals with disabilities and disabled veterans