Data Analytics Engineer
- Snowflake
- dbt
- SQL
- AI
- ELT
- ETL
- Fivetran
- Data Architecture
- Data Modeling
- Git
- CI/CD
- Tableau
- Power BI
- Hex
About The Client:
A data management and cloud services company headquartered in the United States specializes in simplifying backup, recovery, and data protection processes. The firm offers a cloud-based platform integrating backup, instant recovery, archival, search, and analytics functions. Known for its innovative data management approach, the company caters to organizations seeking efficient and scalable solutions.
About The Job:
- We are looking for an experiencedData Analytics Engineer to build and scale modern data pipelines, data models, and analytics architecture.
- The ideal candidate will have strong expertise in Snowflake, dbt, SQL, and data pipeline optimization, along with the ability to translate business questions into scalable analytics solutions.
- This role requires a strong engineering mindset, excellent problem-solving capabilities, and proficiency with AI-powered development tools to accelerate delivery and improve productivity.
Essential Job Functions
- Build and maintain scalable data pipelines and data models that support analytics, reporting, and business intelligence initiatives.
- Monitor, troubleshoot, and optimize existing Snowflake and dbt pipelines to improve performance, reliability, and cost efficiency.
- Analyze data anomalies and pipeline failures to identify root causes and implement sustainable solutions.
- Design, develop, and maintain robust ELT/ETL workflows leveraging Snowflake, dbt, and Fivetran.
- Utilize AI tools and coding assistants to accelerate development, optimize SQL queries, automate repetitive tasks, and improve engineering productivity.
- Collaborate with business stakeholders to understand analytical requirements and translate them into scalable data solutions.
- Communicate technical concepts, architectural decisions, and analytical insights clearly to both technical and non-technical audiences.
- Develop and maintain data quality frameworks, testing strategies, and validation processes.
- Create and maintain technical documentation, data lineage, and pipeline documentation to ensure transparency and maintainability.
- Support reporting, dashboarding, and self-service analytics initiatives across the organization.
- Continuously evaluate opportunities to improve data architecture, pipeline efficiency, and overall platform performance.
Qualifications:
Required Qualifications
- 6+ years of experience in Data Engineering, Analytics Engineering, or related roles.
- Advanced hands-on expertise with SQL, Snowflake, dbt, and Fivetran.
- Strong understanding of modern data warehousing concepts, dimensional modeling, and analytics engineering best practices.
- Proven ability to quickly learn and adapt to new technologies and tools in fast-paced environments.
- Strong analytical mindset with the ability to investigate issues beyond surface-level symptoms and identify true root causes.
- Regular hands-on experience using AI tools and coding assistants as part of the development workflow.
- Strong written and verbal communication skills with the ability to explain technical decisions in business-friendly language.
- Bachelor’s Degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Technical Skills
- Advanced SQL Development and Query Optimization.
- Snowflake Data Warehouse Architecture and Performance Tuning.
- dbt (Data Build Tool) Development and Data Modeling.
- Fivetran Data Integration and Pipeline Management.
- Data Pipeline Design, Monitoring, and Optimization.
- Data Quality, Testing, Documentation, and Governance.
- AI-assisted Development Tools and Productivity Workflows.
Nice to Have
- Master’s Degree in Computer Science, Data Science, or a related technical discipline.
- Experience with Git-based version control workflows.
- Experience implementing CI/CD processes for data pipelines.
- Knowledge of Business Intelligence and Analytics platforms such as Tableau, Power BI, Sigma, or Hex.
- Experience working within high-growth or fast-moving analytics organizations.
- Exposure to cloud-native data platforms and modern analytics ecosystems.
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visitJobs In India – VARITE.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral Program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
| Experience Level | Bonus Referral |
|---|---|
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE:
VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, Canada, and India. VARITE is currently a primary and direct vendor to leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware & Software, Digital Marketing & Media Solutions, Clinical Diagnostics, Utilities, Gaming & Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
Data Analytics Engineer · VARITE INDIA PRIVATE LIMITED