Data Engineer III

Forcepoint

Data Engineer building and maintaining data pipelines at Forcepoint. Collaborating on data workflows and supporting business intelligence initiatives.

Posted 6/5/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Fivetran and API Ingestion with AWS S3
Develop and optimize complex SQL queries and Python scripts to support ETL/ELT workflows
Manage and maintain data workflows within Databricks, ensuring performance, reliability, and data quality
Collaborate on data modeling, schema design, and governance best practices
Build and maintain Databricks dashboards and reports that surface actionable insights to business stakeholders
Partner with analysts and business teams to translate reporting needs into scalable data solutions
Communicate clearly and proactively with stakeholders across business units, setting realistic expectations on timelines and deliverables
Prioritize workload effectively across multiple concurrent projects and shifting business needs
Document data processes, pipeline logic, and architectural decisions to enable team-wide transparency
Participate in sprint planning and contribute to Agile development cycles
Identify opportunities to leverage AI, machine learning, or cloud-native tooling to enhance data products

Requirements

What you’ll need

3+ years of experience in a data engineering, analytics engineering, or similar role
Strong proficiency in SQL — able to write complex queries, optimize performance, and debug efficiently
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
Demonstrated ability to communicate technical concepts clearly to non-technical stakeholders
Experience with Databricks, including building pipelines and writing complex queries (preferred)
Familiarity with Salesforce and experience integrating or extracting data from CRM platforms (preferred)
Experience with API-based data ingestion and building pipelines from third-party data sources (preferred)
Exposure to AI/ML tooling, cloud AI services, or LLM-powered data pipelines and agents (preferred)
Familiarity with Agile development methodologies (preferred)

Benefits

Comp & perks

Equal employment opportunities for all applicants
Reasonable accommodations available for individuals with disabilities
Supportive and inclusive workplace

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonETLELTdata pipelinesdata transformationdata modelingschema designAImachine learning

Soft Skills

communicationcollaborationprioritizationdocumentationstakeholder managementproblem-solvingtransparencyexpectation managementagile participationadaptability