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Gurugram · On-site · 1-3 Yrs · Aug 19
Staffing, Recruitment & Subcontracting · 1 to 50 Employees · Gurgaon, India
As a global leader in Actuarial, Analytics, Audit, Risk Management, & IT recruitment, we have been trusted partners of Big5s, insurers, captives, & consulting giants worldwide since 2014. Our commitment to excellence shines through bespoke talent solutions that blend deep industry insight with cutting-edge technology, ensuring more competent hires. What do we do? Contingency Hiring Retained Hiring Recruitment Process Outsourcing Third-Party Payroll FOR Actuarial Audit & Risk Management Analytics Data Engineering IT Underwriting Claims Financial Advisory Leadership Hiring CAT Modelling Management Consulting Why Trust Us? Proven Track Record: With an impressive 75% screening rate, low dropout rate of less than 15%, and 85% joining rate, we've successfully filled 50+ critical positions across various industries & levels, from entry-level to C-suite executives. Our success is further recognized by leading industry publications such as Silicon India, The CEO Story, and Forbes. Repeat Business and Referrals: Our success speaks for itself. Most of our clients are repeat customers, and many refer new businesses to us, a testament to our trustworthiness. Tailored Solutions: We don't believe in a one-size-fits-all approach. We take the time to understand your unique needs & tailor our recruitment strategy to find the best fit for each role. Measurable Success: Our commitment to excellence is reflected in our KPIs & SLAs (Service Level Agreements). We focus on client satisfaction with clear metrics for response time, quality of hire, & service delivery standards. Global Reach & Recognition: Our reach extends far beyond borders. We have successfully placed talent across five continents, with a strong presence in the US, UK, Europe, Asia, and the Middle East. Data-Driven Approach: We leverage a powerful combination of social media, job boards, & advanced ATS app to identify top talent that perfectly matches your requirements, including skills, location, and budget.
Hiring: Engineering
What employees say
+ Good company and the warehouse
− Growth of sap not good
More reviews on the company profile.
Interview experience · Senior Recruiter
It was very smooth. Have proper 3-4 rounds of interview. Employees there were friendly and helpful. have 3 technical interviews along with 1 machine test. they will give you 2 JDs and you have to set a linkedin or naukri
Average difficulty · New Delhi · 4 reports
More interview insightsJob description
Overview
Hiring Data Engineers with data build tool experience for big4 firm in Gurgaon location.
Responsibilities
- We are looking for an experienced Data Engineer with strong hands-on expertise in dbt Cloud and Apache Airflow to design, develop, and maintain scalable data transformation and orchestration solutions. The ideal candidate should have practical experience working with GCP BigQuery and exposure to the Financial Services (FS) domain.
- The role requires strong problem-solving skills and the ability to design solutions for real-world data engineering challenges, with a focus on data quality, orchestration, scalability, maintainability, and reliable data pipelines.
- Design, develop, and maintain scalable data pipelines using dbt Cloud and Apache Airflow.
- Implement complex data transformation workflows using dbt.
- Develop and maintain dbt Macros, Snapshots, Tests, Hooks, and Seeds based on project requirements.
- Design and implement Airflow DAGs for efficient data orchestration and dependency management.
- Work with Airflow architecture, Sensors, Operators, and orchestration patterns.
- Implement Airflow Dynamic Task Mapping to improve scalability and pipeline efficiency.
- Work with GCP BigQuery for data processing, transformation, storage, and analytics.
- Implement data quality and validation frameworks using dbt tests and other validation mechanisms.
- Handle Slowly Changing Dimensions (SCD Type 2) and historical data tracking.
- Develop strategies for handling late-arriving and out-of-sequence data.
- Define appropriate dbt implementation strategies based on project architecture and business requirements.
- Troubleshoot complex data pipeline issues and identify effective solutions.
- Collaborate with business and technical stakeholders to understand requirements and translate them into robust data solutions.
- Ensure data pipelines are scalable, maintainable, reliable, and optimized for performance.
- Participate in solution design, architecture discussions, and technical decision-making.
- Contribute to production support, monitoring, troubleshooting, and continuous improvement of data engineering processes.
Qualifications
- Exposure to cloud-based data engineering architecture and best practices.
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