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Data Integration lead (ETL With Snowflake, AWS)
Data Integration lead (ETL With Snowflake, AWS)Smart IT Frame LLC • Arlington, Virginia, United States
Data Integration lead (ETL With Snowflake, AWS)

Data Integration lead (ETL With Snowflake, AWS)

Smart IT Frame LLC • Arlington, Virginia, United States
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  • [job_card.full_time]
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Role : Data Integration lead (ETL With Snowflake, AWS)

Location : Arlington VA - Hybrid (4 days / week)

Type : Contract

Experience : 12+ Years

At Smart IT Frame,

we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

Summary :

  • Experienced Data Engineer with 10–12 years of hands-on expertise in designing and scaling enterprise-grade data solutions. Proven track record in building robust ETL pipelines, architecting cloud-native data platforms, and driving performance across large-scale systems.
  • Adept at translating business needs into technical solutions, mentoring teams, and optimizing data workflows for analytics and operational excellence.

Responsibilities :

  • ETL / ELT Development : Architect and maintain high-performance data pipelines using Ab Initio, handling complex transformations and large data volumes.
  • Cloud Data Engineering : Build and optimize data platforms on AWS, leveraging services like S3, Lambda, Glue, and IAM for secure, scalable workflows.
  • Snowflake Expertise : Design efficient schemas, implement clustering strategies, and tune performance for analytics workloads in Snowflake.
  • Advanced SQL : Develop complex queries, stored procedures, and data validation logic to support reporting, analytics, and downstream systems.
  • Data Modelling & Governance : Lead efforts in dimensional modelling, metadata management, and data lineage to ensure consistency and compliance.
  • Performance & Quality : Conduct tuning across ETL jobs and cloud components; implement data quality frameworks to ensure reliability.
  • Cross-Functional Collaboration : Partner with analysts, data scientists, and business stakeholders to deliver scalable, value-driven solutions.
  • Mentorship & Leadership : Guide junior engineers, enforce best practices, and contribute to architectural decisions and roadmap planning.
  • Innovation & Automation : Evaluate new tools, drive automation initiatives, and continuously improve pipeline efficiency and deployment velocity.
  • Leverage industry best practices and methods.
  • Define documentation to support the implementation of best practices.
  • Good communication and stakeholders’ management.
  • ? Apply today or share profiles at
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