Forward-Deployed Data Engineer

Responsibilities

Run on-site discovery, inventory and extraction across fragmented enterprise systems, agreeing scope and authorised access with data owners and IT teams.

Build Python workflows for recursive discovery, bulk transfer, metadata capture, classification, deduplication and integrity checks.

Process email archives, PDFs, office documents, CAD/BIM models, images, audio, video and structured exports, keeping file lineage and source metadata.

Detect and scrub personal and sensitive data in text, attachments, document metadata, scanned images, audio and video, using redaction, masking, pseudonymisation or exclusion as appropriate.

Verify de-identification quality: test for missed identifiers, keep review and audit records, and apply retention and access controls in line with client agreements and applicable law.

Build central storage and searchable catalogues with checksums, provenance, versioning, clear taxonomies and secure access, and fix corrupt files, permission issues and transfer failures.

Apply through LinkedIn with your CV.

Please include your GitHub or examples of data pipelines, migrations or redaction work you have personally built.

Qualifications

2+ years of hands-on experience in data engineering, software engineering, infrastructure or enterprise data migration.

Please include your GitHub or examples of data pipelines, migrations or redaction work you have personally built in the resume / email it to us at khwahish@triton-infotech.com

Required Skills

Strong Python and Linux skills; practical knowledge of file systems, batch processing, APIs and reliable large-volume transfers.

Experience with NAS/network shares (SMB/NFS) and cloud object storage (AWS S3, Google Cloud Storage or Azure Blob).

Working knowledge of PII detection, data cleansing, the limits of anonymisation/de-identification, and secure handling of sensitive enterprise data.

Comfortable working independently in unfamiliar IT environments, coordinating with client stakeholders, and travelling regularly.

Preferred Skills

Terabyte-scale or million-file collections.

Digital archives, CAD/BIM and multimedia files.

OCR and transcription.

Automated redaction of unstructured data.

Data catalogues and privacy-preserving processing.

Distributed pipelines.