Job description

We are looking for a motivated Junior Data Engineer with Snowflake experience to support the design, development, and maintenance of modern cloud-based data platforms. The candidate will work closely with senior data engineers, architects, and analytics teams to build scalable data pipelines, perform data transformations, and support enterprise reporting and analytics initiatives.

This role is ideal for professionals with hands-on experience in Snowflake, SQL, ETL/ELT development, and cloud-based data engineering.

Key Responsibilities

Data Engineering

Develop and maintain ETL/ELT data pipelines.
Build and optimize data ingestion frameworks from multiple source systems.
Create data transformation logic using SQL and Snowflake.
Support integration of structured and semi-structured data sources.
Assist in developing reusable data engineering components.

Snowflake Development

Develop and maintain Snowflake databases, schemas, tables, views, and tasks.
Create and optimize Snowflake SQL queries.
Support data loading using Snowpipe and bulk-loading mechanisms.
Monitor and troubleshoot Snowflake workloads.
Assist in performance tuning and cost optimization.

Data Quality & Validation

Perform data validation and reconciliation activities.
Support implementation of data quality checks.
Investigate and resolve data issues.
Maintain data documentation and metadata.

Reporting & Analytics Support

Prepare analytics-ready datasets.
Support data marts and reporting layers.
Work with BI developers and analysts to provide trusted data assets.

Collaboration

Participate in Agile ceremonies and sprint activities.
Work with Data Architects, Data Engineers, Business Analysts, and Data Scientists.
Follow coding standards and development best practices.

Required Technical Skills

Core Skills

Snowflake
SQL
Data Warehousing Concepts
ETL / ELT Development
Data Modeling Fundamentals

Programming

Python
SQL
Shell Scripting (Preferred)

Cloud Platforms (Any One)

AWS
Azure
Google Cloud Platform

Data Integration Tools

DBT (Preferred)
Airflow
Azure Data Factory
Informatica (Good to Have)

Internal profiles reference Snowflake development along with DBT, cloud platforms, and data transformation frameworks.

Preferred Skills

Snowflake Streams & Tasks.
Data transformation using DBT.
Understanding of dimensional modeling.
Experience with Git version control.
Knowledge of REST APIs and data integration concepts.
Exposure to Databricks, BigQuery, or Spark is a plus.

Qualifications

Bachelor's Degree in Computer Science, Information Technology, Engineering, Mathematics, or related field.
2–4 years of experience in Data Engineering or Data Warehouse projects.

Preferred Certifications

Snowflake SnowPro Associate
Microsoft Azure Data Engineer Associate
AWS Certified Data Engineer
Google Professional Data Engineer

Key Competencies

Problem Solving
Analytical Thinking
Attention to Detail
Team Collaboration
Communication Skills
Learning Agility

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.