AWS Data Engineer
2 weeks ago
About the Role
We are looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines that power enterprise-grade data ingestion, ETL workflows, and cloud data warehousing. The role will focus on AWS Data Technologies, Snowflake, Redshift, and DBT, ensuring reliable, high-quality data availability for analytics and business intelligence at scale.
Key Responsibilities
- Develop and maintain data ingestion processes from PostgreSQL source systems to enterprise data platforms (Snowflake & Redshift).
- Design and implement ETL pipelines using DBT, orchestrating workflows with Apache Airflow.
- Manage data storage & transformations in Snowflake and Iceberg tables on AWS S3.
- Work with Parquet data formats for downstream reporting and analytics.
- Monitor pipeline performance, identify bottlenecks, and troubleshoot issues.
- Collaborate with QA and Data Science teams to ensure data quality, accuracy, and reliability.
- Follow coding best practices and actively contribute to code reviews.
Required Skills & Expertise
- Strong SQL expertise and hands-on experience with PostgreSQL.
- Proficiency in Snowflake Data Warehouse and AWS S3.
- Experience with DBT for data transformation and Apache Airflow for workflow orchestration.
- Solid understanding of data lake house architecture, Iceberg tables, and Parquet formats.
- Strong programming skills in Python and experience with API integration.
- Proven ability in handling large-scale datasets and optimizing performance.
- Excellent communication and teamwork skills.
Job Type: Full-time
Pay: ₹300, ₹1,500,000.00 per year
Benefits:
- Work from home
Work Location: Remote
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