Senior Snowflake Data Engineer

HYrEzy Tech Solutions

Hyderabad

On-site

INR 1,800,000 - 2,500,000

Full time

14 days+

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Job summary

A modern AI-first company is seeking a Senior Data Engineer to build and maintain scalable data pipelines for ELT and ETL processes. The ideal candidate will have extensive experience in Snowflake and Python, with competencies in data quality and cloud storage solutions. This is a full-time position located in Hyderabad, offering a budget of INR 18-25 LPA.

Qualifications

5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.
At least 3+ years of experience in Snowflake data warehousing technologies.
Minimum 3+ years of professional level experience with Python languages for data manipulation and automation.

Responsibilities

Design, develop, and maintain robust data pipelines for ELT and ETL processes.
Collaborate with stakeholders to understand data requirements.
Implement data quality checks and monitoring.

Skills

Snowflake schema

Airflow

Python

SQL

Elastic Search

AWS S3

NFS

CI/CD/DevSecFinOps

Scrum

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Job description

3 days ago Be among the first 25 applicants

HYrEzy Tech Solutions provided pay range

This range is provided by HYrEzy Tech Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Experience: 3 - 6 Years
Work model- WFO only
Notice period: Only 15 - 30 days
Budget: 18-25 LPA

Role: Senior Data Engineer (Snowflake)

Location: Pune/ Hyderabad
Experience: 3 - 6 Years
Work model- WFO only
Notice period: Only 15 - 30 days
Budget: 18-25 LPA

About company: We are a new-age, AI-first Digital & Cloud Engineering Services company. Our mission is to combine deep engineering expertise with automation-first thinking and AI-native execution to help clients achieve more with speed, precision, and measurable impact.

We work at the intersection of automation, AI, and agile engineering to deliver scalable, high-performance solutions that enable businesses to move faster and operate smarter.

Role Overview

We are seeking a talented and passionate Senior Data Engineer (Snowflake) to join our growing data team. In this role, you will play a key part in building and scaling our data infrastructure, enabling data-driven decision-making across the organization. You will be responsible for designing, developing, and maintaining efficient and reliable data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes..

Roles & Responsibilities

Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness.
Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
Build and optimize data pipelines using a variety of technologies, including Elastic Search, AWS S3, Snowflake, and NFS.
Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs.
Implement data quality checks and monitoring to ensure data integrity and identify potential issues.
Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes.
Stay current with industry best practices, CI/CD/DevSecFinOps, Scrum and emerging technologies in data engineering.
Contribute to the development and enhancement of our data warehouse architecture

Requirements

Mandatory:

Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.
At least 3+ years of exp in Snowflake data warehousing technologies.
At least 3+ years of exp in creating and maintaining Airflow ETL pipelines.
Minimum 3+ years of professional level experience with Python languages for data manipulation and automation.
Working experience with Elastic Search and its application in data pipelines.
Proficiency in SQL and experience with data modelling techniques.
Strong understanding of cloud-based data storage solutions such as AWS S3.
Experience working with NFS and other file storage systems.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

Skills: snowflake schema,airflow,snowflake,data engineer (snowflake),elt and etl processes,elastic search, aws s3, snowflake, and nfs.,ci/cd/devsecfinops, scrum

Seniority level