Why This Role Stands Out
Advance your data engineering career at Technogen, Inc., a respected leader in IT services, by developing robust DBT models and scalable ELT/ETL pipelines. This hybrid role, offering flexibility with three days onsite in Oaks, PA, is perfect for experienced DBT, Python, and Airflow professionals eager to optimize data warehousing and ensure data quality within a growing organization. You'll have the opportunity to contribute to impactful projects and further hone your skills in a supportive environment.
Quick Overview
Job Description
TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Location: Oaks, PA (Hybrid- 3days onsite in a week)
Note: Please look for someone have worked in past Denodo Migration.
Responsiblities:
Develop and maintain DBT models, macros, and SQL scripts to transform data within Snowflake.
Optimize data models, design star/snowflake schemas, manage warehouse performance, and implement clustering/materialized views.
Create scalable ELT/ETL pipelines to ingest and transform data from diverse sources.Write modular, testable SQL code using version control and manage DBT project structures.
Implement data quality checks, automated tests, anomaly detection, and data security, including RBAC, masking, and row-level access in Snowflake.
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
5+ years of experience with DBT and Hands-on experience developing with dbt.
3+ years of experience with Python development
3+ years of experience with Airflow development3+ years of experience with Snowflake and Strong SQL proficiency.
Good handle on Datawarehouse concepts.
Education: Bachelor's degree in Computer Science, Data Engineering, or a related field
Nice to Have; (But not a must)
Cloud Platforms: Experience with AWS, Google Cloud Platform, or Azure environments.
Govinda rajulu. M| Sr. Talent Acquisition Specialist
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