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.
ResponsibilitiesKey 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
Skills Required
- Snowflake
- SQL
- ETL/ELT Development
- Data Warehousing Concepts
- Data Modeling Fundamentals
- Python
- Shell Scripting
- Cloud Platform (AWS, Azure, or Google Cloud Platform) - any one
- DBT
- Airflow
- Azure Data Factory
- Informatica
- Git (version control)
- Snowflake Streams & Tasks
- Snowpipe (data loading)
- Knowledge of REST APIs and data integration concepts
- Exposure to Databricks, BigQuery, or Spark
- Bachelor's Degree in CS, IT, Engineering, Mathematics, or related field
- 2-4 years of experience in Data Engineering or Data Warehouse projects
- Snowflake SnowPro Associate (preferred certification)
- Microsoft Azure Data Engineer Associate (preferred certification)
- AWS Certified Data Engineer (preferred certification)
- Google Professional Data Engineer (preferred certification)
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
