Data Engineer

Fa Ewjt Saasfaprod1; Gurugram District; Sur place; INR 600 000 - 1 200 000; Plein temps

Résumé du poste

Fa Ewjt Saasfaprod1 is seeking 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 focuses on Snowflake, SQL, ETL/ELT development, and cloud-based data engineering,

Qualifications

• Bachelor's degree in CS/IT/Eng/Math or related field.
• 2–4 years of experience in Data Engineering or Data Warehouse projects.
• Hands-on Snowflake, SQL, ETL/ELT, and cloud-based data engineering experience; certifications preferred.

Responsabilités

• 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.
• Collaborate with BI developers and analysts to provide trusted data assets.

Connaissances

Snowflake

SQL

Data Warehousing Concepts

ETL/ELT Development

Data Modeling Fundamentals

Python

Shell Scripting

Formation

Bachelor's Degree in Computer Science, Information Technology, Engineering, Mathematics, or related field

Outils

DBT

Airflow

Azure Data Factory

Informatica

Snowpipe

Description du poste

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