Quation Solution - Data Engineer ( Snowflake Technology)

Posted 9 Days Ago
Be an Early Applicant
3 Locations
In-Office
Mid level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Design, build, and maintain ETL data pipelines using Talend and Snowflake. Extract data from APIs, reverse-engineer Alteryx workflows, apply Data Vault modeling, implement CI/CD and AWS data services, document designs, and collaborate with architects, SMEs, and developers to deliver robust cloud-based data warehousing solutions.
Summary Generated by Built In

Company : Quation Solution

Position - Data Engineer

Experience Required: Min 4 – 8 years 
Location: Bangalore/Chennai/Gurgaon

 Mode of Work: Hybrid

 Shift Timings: General

  We are seeking an experienced data engineer who is comfortable with implementing ETL, automation, modeling, and working with large datasets in a fast-paced team with data architects, business SMEs, and technical developers. The data engineer will use Talend and

Snowflake primarily, understand and reverse engineer Alteryx workflows, and follow the principles of Data Vault modeling. Knowledge of Data Vault design methodology, Data Ops, Monte Carlo, similar tools, and Snowflake will be essential.    

Key responsibilities: 

· Breakdown requirements, understand logical data models and deliver robust data pipelines (ETL) to specifications 

· Extraction of data from APIs (REST, SOAP, etc) with a sound understanding of pagination techniques. 

· Own development artifacts and follow established dev, test, and deployment principles and processes 

· Ensure the build meets the stated design and specifications 

· Ensure all development, flows and designs are documented, communicated, updated, and managed in an appropriate manner 

 What we're looking for: 

· An experienced Data Engineer with strong implementation experience and expertise, especially using Snowflake technology

· Experienced in modern cloud-based data architecture (Talend/Snowflake including SQL) 

· Implementation experience in Snowflake data warehousing projects 

· Expertise in ETL and scheduling tools 

· Experienced in Talend or similar (e.g. DBT)

· Understanding of Alteryx Workflows and recreating it using Talend components 

· Python experience recommended

· AWS S3/Lambda/Glue/Dev-Ops (AWS data-engineering exposure, hands-on experience) 

· Experienced with CICD pipelines, and working and deploying in large delivery teams 

· Self-driven and constantly striving to improve delivery 

· Knowledge of the Data Mesh framework and associated concepts will be a plus

· Optional: Digital Media and Marketing Services experience

Skills Required

  • 4-8 years of data engineering experience
  • Expertise with Snowflake and implementation experience in Snowflake data warehousing projects
  • Hands-on experience with Talend or similar ETL tools (e.g., DBT)
  • Knowledge of Data Vault design methodology and Data Vault modeling
  • Experience with Data Ops tools (e.g., Monte Carlo) or similar
  • Ability to understand and recreate Alteryx workflows using Talend components
  • Experience building ETL pipelines, scheduling tools, and working with large datasets
  • Experience extracting data from APIs (REST, SOAP) including pagination techniques
  • Strong SQL skills
  • Hands-on AWS data engineering experience (S3, Lambda, Glue, DevOps exposure)
  • Experience with CI/CD pipelines and deployment in large delivery teams
  • Python experience
  • Knowledge of Data Mesh framework and associated concepts
  • Digital media and marketing services experience
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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