Job Description
Role Overview:
nWe are looking for a Data Engineer – Analytics & AWS with 2–4 years of experience who enjoys working across both data engineering and data analytics .
nIn this role, you will build and support scalable data pipelines while also working with data for analysis, data quality, transformation, and analytics use cases . You will work with modern AWS and Snowflake technologies and collaborate with cross-functional teams to deliver reliable, business-ready data solutions.
nThe ideal candidate has strong hands-on experience with AWS Glue, S3, SQL, Python, and Snowflake , along with a good understanding of ETL/ELT and data analytics.
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nWhat You'll Work On:
nData Engineering
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- Design, develop, and maintain ETL/ELT pipelines for data ingestion, transformation, and loading.n
- Build and support data pipelines using AWS Glue and Amazon S3 .n
- Develop Python-based data processing and automation solutions.n
- Build and optimize data warehouse solutions using Snowflake .n




- Develop and support workflow orchestration using Airflow and related services.n
- Work with event-driven and streaming workflows using Kafka .n
- Troubleshoot production issues and improve pipeline performance, scalability, and reliability.n

nData Analytics
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- Analyze data to identify trends, issues, and insights.n
- Use SQL and Snowflake for data analysis, validation, and investigation.n
- Support data quality and reconciliation activities across multiple data sources.n
- Work with business and technical teams to understand analytics requirements.n
- Translate data findings into practical technical solutions.n
- Support analytics and reporting use cases across multiple projects.n

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nKey Responsibilities:
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- Work on projects across Data Ingestion, Data Transformation, Data Quality, and Data Analytics .n
- Develop productive SQL queries for transformation, validation, and analytics.n
- Implement and maintain Snowflake capabilities i

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