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Sr Data Engineer-Sapient
- Boston, Massachusetts, United States
- Boston, Massachusetts, United States
À propos
Knowledge And Skills
Help design and build a new enterprise data platform from inception
Support platform provisioning and enterprise readiness initiatives
Build scalable data pipelines and integration frameworks
Collaborate with engineering, architecture, and platform teams
Contribute to governance, scalability, security, and operational best practices
Work within cloud IAAS and modern data ecosystem environments
Preferred Background
Strong Data Engineering experience in modern cloud data environments
Experience with Microsoft Fabric strongly preferred
Open to candidates with strong Databricks or Snowflake backgrounds
Financial services industry experience preferred, but other industries will be considered
Experience working in greenfield or platform build‑out environments is highly desirable
Strong cloud and enterprise architecture mindset
Job Responsibilities
Design and implement end‑to‑end data ingestion pipelines using Azure services, including API‑based ingestion and Azure Data Factory (ADF).
Hands‑on experience or strong working knowledge of Microsoft Fabric, including its role in modern analytics and lakehouse architectures.
Proven experience working in Azure for data ingestion and orchestration.
Strong experience with Azure Data Factory (ADF) for pipeline development and scheduling.
Experience building API‑based data ingestion solutions.
Solid understanding of data storage formats, including CSV, JSON, and Parquet.
Build and manage lakehouse and data warehouse solutions using modern data storage formats to support analytical and operational workloads.
Develop and optimize data transformations using PySpark, ensuring scalability, performance, and cost efficiency.
Apply medallion architecture (bronze, silver, gold layers) to enable high‑quality, governed, and reusable datasets.
Experience designing and working with data warehouses and lakehouse architectures.
Strong foundation in data modeling concepts for analytical workloads.
Practical experience implementing medallion architecture patterns.
Proficiency in PySpark for large‑scale data transformations and optimization.
Ability to write clean, maintainable, and well‑documented data pipelines.
Partner with cross‑functional teams to support data modeling, analytics, and downstream consumption use cases.
Contribute to best practices around data quality, reliability, and maintainability across the data platform.
Qualified candidates should send their resumes to rprudhvi@vsoftconsulting.com .
V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
For more information or to view all our open jobs, please visit www.vsoftconsulting.com or call (844) 425-8425.
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Compétences linguistiques
- English
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