[Hiring] Data Engineer @TekWissen

Role Description

The Data Engineer owns the data lifecycle end to end at client: from a raw log line to a trusted dashboard number. You will develop, evaluate, test and maintain data architectures and pipelines on client's internal stack, keeping data correct, timely, secure and affordable.

You will execute the plans, policies and practices that control, protect, deliver and enhance the value of the organization's data assets, and use client's AI assistants to work faster across every stage.

Key Responsibilities

• Manage data engineering projects through the full cycle, from requirements to production support
• Identify and shape business initiatives from a data engineering perspective, working with client Product Managers and data scientists
• Design, build, test and maintain highly scalable data management systems and production pipelines (Python, SQL, Spark, Presto)
• Design, implement, automate and maintain large-scale enterprise ETL processes across capture, move, refine, store and serve layers
• Orchestrate pipelines with scheduling, retries, backfills and SLAs; ship changes through code review and CI/CD
• Ensure systems meet business requirements, client privacy policy and data governance standards, including access control and retention
• Monitor data quality, observability, cost and reliability at every layer; participate in 24/7 on-call rotations and SEV investigations
• Build high-performance algorithms, prototypes, predictive models and proofs of concept, including AI agents that automate operational work
• Build datasets, semantic layers and dashboards that give stakeholders self-service access to trusted metrics

Required Technical Skills

• Core languages and frameworks: Python, SQL, Apache Spark, Airflow, PrestoDB, Bash/shell scripting

Lifecycle Stage

• Capture: Logging, ingestion, scraping - Falco, Logview, Scribe, Hive ETL, Scrapy, Playwright
• Move: Pub/sub and streaming - Scribe event streams, Scuba
• Refine: Enriching, cleansing, aggregation - Daiquery, Presto / Onyx, Hive, Confucius
• Store & Secure: Storage and access control - Hive, Manifold, XDB, TAO, Everstore, AMP, Access Gate, CAT, OIDC
• Serve: Semantic layer and visualization - IData, Unidash, Vega, Nest
• Orchestration: Scheduling, retries, backfills, SLAs, CI/CD - Dataswarm, Sandcastle
• Configuration: Feature flags, rollouts, experiments - Configerator, Sitevars, JustKnobs, Gatekeeper
• Observability: Monitoring, alerting, errors, on call - ODS, Scuba, ErrorTool, Oncall Hub
• Development: Source control, code review, IDE - Sapling, Phabricator, Diffs, CodeHub, Paste, EdenFS, VS Code @ client
• Investigation: Entity debugging, data discovery - ID Tool, IData, Intern Search

AI Tooling

• Metamate: Knowledge retrieval, document summaries, custom commands for repetitive tasks
• Confucius: Agents for data collection, data quality monitoring, anomaly detection and reporting
• Claude (Opus, Sonnet): Pipeline code and code review, workflow scripting, documentation, compliance support
• Analytics Agent: Finding data, analysing it and answering business questions

Professional Skills and Qualifications

• 5–10 years of data engineering experience, with production pipelines at petabyte scale
• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience
• Ability to work as part of a team, and independently with minimal direction
• Excellent written, presentation and verbal communication skills, including stakeholder-facing reporting
• Collaborates with data architects, modelers, Product Managers and IT team members on project goals
• Strong productivity tool skills: Google Workspace, Workplace, Google Chat, Wiki, Tasks; Microsoft SharePoint a plus
• Process certification such as Six Sigma, CBPP, BPM, ISO 20000, ITIL or CMMI

Nice to Have

• Prior experience across multiple data orgs (WhatsApp, Instagram, Reality Labs, Infrastructure, Finance Technology)
• Track record of automating privacy and governance compliance across large dataset and pipeline estates
• Experience building autonomous agents that triage operational tasks or access requests at scale
• Published reusable AI workflows or agent templates for other teams
• Platform experience: Tupperware, ThriftProxy, Relay, Buck, InternGraph
• Experience mentoring junior engineers and leading code review standards
• AI certifications, such as Anthropic Claude Certified Associate or Claude Architect Foundations

Company Description

TekWissen® Group is an equal opportunity employer supporting workforce diversity.