Senior Data Engineer (AWS + Snowflake + DBT + PySpark + CI/CD)
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Senior Data Engineer (AWS + Snowflake + DBT + PySpark + CI/CD)#26-00616
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Job Description
At Staffworxs, we don't just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world's top brands, who continue to retain us as their trusted partner. If you're ready to make an impact, you're in the right place.
Job Details
Job Title
Senior Data Engineer (AWS + Snowflake + DBT + PySpark + CI/CD)
Duration
Long term Contract
Location
Remote (EST)
Job Description –
Senior Data Engineer – Enterprise Data Hub (AWS + Snowflake + DBT + PySpark + CI/CD)
Job Description
We are looking for an experienced Senior Data Engineer (10+ years of data engineering experience) to join the EDH team. This role will serve as a technical resource responsible for designing, developing, supporting, and enhancing modern data pipelines built using AWS, Snowflake, and DBT.
The ideal candidate should have strong hands-on experience building enterprise-scale data platforms, working with AWS, Snowflake cloud-based data engineering solutions, and supporting complex data integration and transformation processes. The candidate should be comfortable working independently, collaborating with offshore teams, and providing technical guidance.
Key Responsibilities
- Design, develop, and support enterprise data pipelines using AWS, Snowflake, and DBT.
- Develop and enhance metadata-driven data ingestion and transformation frameworks.
- Work with AWS services to build scalable data ingestion solutions.
- Implement enterprise-scale solutions using Snowflake, including database design, data loading, data transformation, security, performance optimization, and operational support.
- Build dimensional models, star schema, snowflake schema, fact and dimension tables, and data structures optimized for analytics and reporting.
- Develop DBT models, macros, tests, and deployment configurations.
- Troubleshoot and debug data pipeline issues across AWS, Snowflake, dbt, and PySpark, perform root cause analysis, and implement solutions.
- Support EDH production deployments, monitoring, and issue resolution.
- Collaborate with offshore engineering teams and provide technical guidance and code reviews.
- Participate in architecture discussions and recommend improvements to platform design.
- Work with DevOps teams on CI/CD processes, Git-based development, deployment automation, and release management.
- Implement data quality checks, validation frameworks, logging, and operational monitoring.
Required Technical Skills
AWS
Strong hands-on data engineering experience with AWS data services
Snowflake
Strong hands-on experience with Snowflake architecture, development,
Designing data warehouse solutions using Snowflake.
DBT
Strong hands-on experience with DBT development
PySpark
Experience developing PySpark applications for data ingestion and cleansing.
DevOps-CI/CD
Experience with deployment automation, release management, and
environment promotion processes.
Data Modeling
Experience designing dimensional data models (Facts, Dimensions).
transformation, and optimization in cloud-based data platforms.
SQL
Strong SQL skills including complex queries, performance tuning, and optimization.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
Skills
- AWS
- Snowflake
- DBT
- PySpark
- SQL
- Git
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