The Role
Design, build, and maintain scalable ETL/ELT data pipelines across GCP/AWS/Azure. Lead cloud migration/modernization, ensure data quality, governance, and observability, collaborate with teams, and optimize cloud performance and costs.
Summary Generated by Built In
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.
Skills Required
- 6+ years of hands-on Data Engineering experience
- Proficiency in SQL
- Proficiency in Python
- Experience with at least one major cloud platform (GCP, AWS, or Azure)
- Experience with cloud data tooling (BigQuery, Dataflow, Dataform, Pub/Sub, Cloud Storage, Redshift, Glue, S3, Lambda, EMR, Azure Data Factory, Synapse, Data Lake)
- Strong understanding of ETL/ELT, data modeling, and data warehouse architectures
- Experience with version control (Git) and CI/CD pipelines for data workflows
- Understanding of data quality, observability, and reliability practices
- Experience with multi-cloud or cloud migration/modernization projects
- Familiarity with orchestration and transformation tools (Airflow, dbt, Dataform)
- Experience with streaming data and event-driven architectures
- Strong analytical, problem-solving, and communication skills
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The Company
What We Do
Numentica is a consulting firm specializing in software product development, business intelligence, data management, data analytics, AI, and cloud services, focusing on digital transformation.
