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Data Engineer

Job in 110006, Delhi, Delhi, India
Listing for: Vertex Agility
Full Time position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Data Science Manager, Cloud Computing
Job Description & How to Apply Below
Role:
Data Engineer - Contract (Remote)

We are hiring an experienced  Data Engineer  with  5+ years of hands-on experience  to join our growing data team. This role is ideal for someone who enjoys working on scalable data platforms, building reliable pipelines, and owning end-to-end data workflows in a modern cloud environment.

As a Data Engineer, you will be responsible for  designing, building, and optimizing data pipelines  using  Fivetran and Snowflake , ensuring high-quality, secure, and performant data delivery for analytics and business use cases. You will collaborate closely with analytics, product, and business teams while working independently in a fast-paced, remote setup.

Key Responsibilities
Design, build, and maintain robust  ETL/ELT data pipelines  using  Fivetran  for data ingestion from multiple sources
Develop and optimize  Snowflake data models , schemas, and warehouses for performance and scalability
Write efficient and complex  SQL queries  for transformations, validations, and analytics use cases
Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost
Ensure data quality, consistency, and best practices across the data platform
Work with cloud-based data ecosystems and modern data stack tools
Collaborate with stakeholders to understand data requirements and deliver scalable solutions

Required Skills & Experience
5+ years of experience  in Data Engineering or related roles
Strong hands-on experience with  Fivetran  and  Snowflake
Advanced  SQL  skills with experience in performance tuning
Solid understanding of  data pipelines, ETL/ELT frameworks, and data warehousing concepts
Experience working in  cloud-based environments  (AWS, Azure, or GCP preferred)
Ability to work independently and manage tasks in a remote, fast-paced environment

Why Join Us
Fully  remote role  with flexible working hours
Opportunity to work on  modern data stack technologies
High ownership and impact on data architecture and analytics
Collaborative and growth-focused team environment
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