Data Engineer
At a glance
Mid-level Data Engineering role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL/ELT pipelines that bring data in from multiple source systems
- Use SQL and Snowflake to transform data and manage databases, schemas, tables, views and tasks
- Load data through Snowpipe or bulk methods, then monitor workloads and address performance or cost issues
- Validate and reconcile datasets, investigate data problems, and keep data documentation and metadata current
- Prepare analytics-ready datasets and reporting layers with BI developers and analysts
What you bring
- You have two to four years of data engineering or data warehouse project experience
- You bring hands-on Snowflake and SQL skills, plus ETL/ELT development and data warehousing knowledge
- You hold a bachelor's degree in computer science, IT, engineering, mathematics or another related field
- You can program in Python and have worked with at least one of AWS, Azure or Google Cloud
Who this fits
This junior-level role suits someone who can build data pipelines and transform data in Snowflake while collaborating with senior engineers, architects and analytics teams. The position is hybrid in Gurugram, India, and includes Agile ceremonies and sprint work.
From the employer
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
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Data Engineering
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