Senior Data Engineer
Numentica Senior Data Engineer
Summary
Senior data engineer at Numentica (NuStartz) who designs, builds, and optimizes scalable ETL/ELT data pipelines on at least one major cloud (GCP, AWS, or Azure), while helping migrate and modernize existing data workflows for analytics and BI. Core stack: SQL, Python, cloud data services, Git/CI-CD.
NuStartz is seeking an experienced Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines across cloud platforms (GCP / AWS / Azure), supporting scalable analytics and business intelligence initiatives.
You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.
- Build efficient systems for data ingestion, transformation, and delivery across platforms.
- Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.
- Implement and monitor data governance, data quality, and performance standards.
- Optimize cloud resources for performance and cost efficiency.
- Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.
Required Skills & Experience
- 6+ years of hands-on experience as a Data Engineer.
- Strong proficiency in SQL, Python, and data transformation frameworks.
- Proven experience with at least one major cloud platform: GCP, AWS, or Azure.
GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage
AWS: Redshift, Glue, S3, Lambda, EMR
Azure: Azure Data Factory, Synapse Analytics, Data Lake - Strong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.
- Experience with version control (Git) and CI/CD pipelines for data workflows.
- Solid understanding of data quality, observability, and reliability practices.
Preferred Qualifications
- Experience working in multi-cloud or cloud migration/modernization projects.
- Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.
- Experience with streaming data and event-driven architectures.
- Strong analytical, problem-solving, and communication skills.
Why Join NuStartz
- Work hands-on with modern cloud data technologies on impactful projects.
- Drive the next-generation data pipeline framework from the ground up.
- Be part of a fast-moving, innovation-driven team that values ownership and collaboration.
- Opportunity to make key architectural and strategic contributions.