--- title: 'Data Engineer at ShyftLabs' canonical: 'https://feeny.ai/job/data-engineer-shyftlabs-coimbatore-5n9jneqvbvqx' type: 'job' last_seen: '2026-09-08' --- # Data Engineer at ShyftLabs - **Company:** ShyftLabs - **Location:** Coimbatore, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-10 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/shyftlabs/a34ac0d8-9c48-4cd6-9c12-c5a6740b18ac ## Job description Position Overview: We are seeking a Data Engineer to join a client-focused engagement, with responsibilities split evenly between production support and technical/development work. This role requires 2–4 years of hands-on experience in data engineering, strong proficiency in Python, SQL, and Spark, and prior exposure to client-based project environments. The ideal candidate will be comfortable balancing operational support duties with building and optimizing data pipelines. Job Responsibilities: - Provide day-to-day support (50%) for existing data pipelines, jobs, and platforms —monitoring, troubleshooting, and resolving issues to ensure smooth operations - Design, build, and maintain (50%) scalable data pipelines and ETL/ELT workflows using Python, SQL, and Spark - Collaborate with cross-functional and client teams to understand data requirements and translate them into technical solutions - Perform root-cause analysis on data/pipeline issues and implement fixes with minimal downtime - Optimize existing data workflows for performance, reliability, and cost-efficiency - Document processes, pipeline architecture, and support runbooks for knowledge continuity - Participate in on-call/support rotations as needed for the client engagement - Work with Databricks and/or AWS cloud environments where applicable to build or support data solutions Basic Qualifications: - 2–4 years of experience in a Data Engineering role - Strong proficiency in Python and SQL - Hands-on experience with Apache Spark - Prior experience working on client-based projects (mandatory) - Ability to work across both support and development responsibilities - Strong problem-solving and communication skills for client-facing situations Preferred Skills: - Experience working with Databricks - Familiarity with AWS Cloud services (e.g., S3, Glue, EMR, Lambda, Redshift) - Exposure to CI/CD pipelines for data engineering workflows - Experience with workflow orchestration tools (e.g., Airflow) We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. [Lever Jobs](https://jobs.lever.co/shyftlabs) ## Other roles at ShyftLabs - [Program Manager, Martech Operations & Governance](https://feeny.ai/job/program-manager-martech-operations-governance-shyftlabs-toronto-r633chw1d8fe) — Toronto, Canada - [Lead Data Engineer (Databricks)](https://feeny.ai/job/lead-data-engineer-databricks-shyftlabs-coimbatore-x727bq8q0acy) — Coimbatore, India - [Principal Technical Product Manager](https://feeny.ai/job/principal-technical-product-manager-shyftlabs-toronto-dcgq4stsw1j7) — Toronto, Canada - [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-shyftlabs-noida-5nvapc5fh3m6) — Noida, India - [Technical Product Manager](https://feeny.ai/job/technical-product-manager-shyftlabs-toronto-yd4wz7avxd9z) — Toronto, Canada - [Software Developer](https://feeny.ai/job/software-developer-shyftlabs-noida-8rgf0nc7yfma) — Noida, India - [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-shyftlabs-noida-9mrbkvzfmksx) — Noida, India - [Technical Data Engineer (Databricks)](https://feeny.ai/job/technical-data-engineer-databricks-shyftlabs-coimbatore-tb1k5exrbrm7) — Coimbatore, India - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-shyftlabs-toronto-krwjay93a8ve) — Toronto, Canada - [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-shyftlabs-toronto-qpg2tbg4t2c1) — Toronto, Canada