--- title: 'Data Engineer at ShyftLabs' canonical: 'https://feeny.ai/job/data-engineer-shyftlabs-noida-rxsh8egk6ap0' type: 'job' last_seen: '2026-10-13' --- # Data Engineer at ShyftLabs - **Company:** ShyftLabs - **Location:** Noida, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.lever.co/shyftlabs/c3c22ed9-adf7-4afb-b561-d29808c13c87 ## Job description Position Overview: We are seeking a skilled Data Engineer to design and build scalable data platforms that power analytics, reporting, and business-critical insights. You will develop high-performance batch and streaming data pipelines, optimize ETL/ELT workflows, and manage large-scale analytical databases while ensuring data reliability and performance. This role requires strong expertise in SQL, distributed data processing, cloud technologies, and event-driven architectures, along with close collaboration with Product, Analytics, and Backend teams to deliver robust data solutions. At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes. Job Responsibilities: - Design and build scalable batch and streaming data pipelines. - Develop and optimize ETL/ELT workflows using distributed data processing frameworks. - Own and optimize ClickHouse clusters for large-scale analytical workloads. - Design efficient data models for reporting and dashboarding use cases. - Build and maintain data ingestion pipelines from MongoDB, PostgreSQL, Kafka, APIs, and other data sources. - Improve performance of large SQL workloads and analytical queries. - Build reliable monitoring, health checks, and data anomaly detection systems. - Work closely with Product, Analytics, and Backend teams to deliver reliable reporting and insights. Basic Qualifications: - 3+ years of experience in Data Engineering. - Strong SQL skills with expertise in query optimization. - Experience with ClickHouse or other OLAP databases (BigQuery, Redshift, Snowflake, Druid, Pinot, etc.). - Strong knowledge of PostgreSQL. - Experience building ETL/ELT pipelines. - Proficiency in Java or Python. - Experience with Apache Kafka and event-driven architectures. - Strong understanding of data modeling and partitioning strategies. - Experience working on cloud platforms (AWS/GCP/Azure). - Experience with Docker and Kubernetes. - Knowledge of monitoring and observability tools. Preferred Qualifications: - Experience with Looker or BI platforms. - Experience with Apache Spark or Dataproc. - Experience with Airflow or workflow orchestration tools. - Understanding of advertising technology (DSP, RTB, Attribution, Campaign Reporting). - Experience with large-scale analytical systems processing billions of records. 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 - [WMS Engineer](https://feeny.ai/job/wms-engineer-shyftlabs-noida-wx01vr1xa779) — Noida, India - [Lead QA Automation Engineer (PlayWright)](https://feeny.ai/job/lead-qa-automation-engineer-playwright-shyftlabs-noida-75cvqnw891kp) — Noida, India - [Data Engineer -Databricks](https://feeny.ai/job/data-engineer-databricks-shyftlabs-coimbatore-zsysdnmhkj7m) — Coimbatore, India - [Lead Data Engineer - Databricks](https://feeny.ai/job/lead-data-engineer-databricks-shyftlabs-coimbatore-qhb5jr51jvay) — Coimbatore, India - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-shyftlabs-noida-qgfjmqsenk0z) — Noida, 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 Data Engineer](https://feeny.ai/job/senior-data-engineer-shyftlabs-toronto-krwjay93a8ve) — Toronto, Canada