Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Title: Senior Data Engineer (Snowflake, AWS & DataStage)
Remote
W2 only
We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, DataStage, and dbt/ELT tools to build and maintain scalable data warehouse solutions and data pipelines.
Pointers:
- Snowflake Strong hands-on experience with Snowflake development and administration.
- ETL Extensive experience with ETL development using IBM DataStage.
- ELT Hands-on experience with dbt (Data Build Tool) for ELT pipeline development.
- Migration Experience Proven experience in Snowflake to DataStage migration projects.
- SQL Strong expertise in writing and optimizing complex SQL queries, stored procedures, and performance tuning.
- Data Warehouse Solid understanding of Data Warehouse concepts, dimensional modeling, star/snowflake schema, and data integration.
- Experience in building and supporting scalable data pipelines and ETL/ELT workflows.
- Excellent analytical, troubleshooting, and problem-solving skills.
Key Responsibilities
- Design and develop ETL/ELT pipelines using DataStage, Snowflake, and dbt.
- Build and optimize cloud-based data solutions on AWS.
- Develop complex SQL queries and data transformations.
- Implement data warehouse and Data Vault modeling solutions.
- Ensure data quality, performance, and scalability.
- Collaborate with cross-functional teams to deliver business data requirements.
Required Skills
- Snowflake
- DataStage
- dbt or any ELT tool
- AWS Cloud
- Strong SQL Coding
- Data Warehousing Concepts
- Data Vault Modeling
Nice to Have
- Netezza
- SQL Server
Experience
5+ years of Data Engineering experience with expertise in cloud-based data platforms and data warehousing.
Skills
SQL
SQL Server
AWS
ETL
Snowflake
Vault
dbt
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